piflow-maintenance

name

piflow-maintenance

description

Pi Flow · MAINTENANCE — the canonical STANDARDS reference for a node config + a run condition: the exact per-node lifecycle, the `op[]` action envelope, PRE/POST hooks, gates & policy, how a node FINISHES (fenced-JSON tail · `submit_result` · `returnMode` · verified-not-trusted), run PROFILES, and the token / contract vocabulary. The brother of piflow-init — init decides WHAT the DAG is (divide the purpose, assign the nodes); MAINTENANCE answers "what is our canonical way to DO this?" for an already-built or half-built loop. LOAD/FOLLOW when editing or extending an existing node.json / template and you need the standard: "where does a script go (which op, pre or post)", "how should this node end / return its result", "how do I add a gate / check / judge", "the exact node lifecycle", "how do promote / state channels work", "set up a profile", "inject vs readScope", "is this the right op syntax". REFERENCE, not a loop — carries the standards only, never the optimize loop and never the divide-and-assign creation strategy. To CREATE use piflow-init · RUN piflow-start · IMPROVE piflow-enhance · LOOK INTO a run piflow-inspect.

Pi Flow · maintenance — the canonical node-config & run-condition standards

One-line model: a workflow is a .piflow/<wf>/template/ (the D8 source of truth); each node is ONE self-contained node.json (contract-as-DATA); @piflow/core loads the template into a WorkflowSpec, compiles it to a DAG, and runs one headless pi per node, verifying artifacts on disk. This skill is the reference for the STANDARDS that govern that node config and that run — not how to invent the graph (piflow-init) and not how to improve it over time (piflow-enhance).

Paths below are relative to the piflow repo root (~/Desktop/piflow). This is a REFERENCE skill: it POINTS at the ground truth (design docs + piflowctl understand slices) and never copies code. When a fact here looks stale, the slice wins — re-derive with piflowctl understand <area> and --check.

The five Pi Flow lifecycle skills — where MAINTENANCE sits

Skill	Role
piflow-init	CREATE: triage the source → divide the purpose → assign each node → build the template/
piflow-maintenance (you are here)	The STANDARDS: the canonical way a node config & a run are shaped — read before EDITING an existing/half-built loop
piflow-start	RUN & monitor a workflow on the pi fleet (dry-run → live → piflowctl logs)
piflow-inspect	LOOK INTO a run/node (telemetry · trace · timing · loop/stall)
piflow-enhance	IMPROVE a workflow over runs (capture→route→edit loop, criteria fixture, the optimize loop)

The boundary (do not cross it in this skill): MAINTENANCE tells you the SHAPE and the SYNTAX. It does NOT decide whether a step should exist, who owns it, or how the graph is divided — that judgment is piflow-init's "Designing a node's I/O". It does NOT run the improve/optimize loop — that is piflow-enhance. If the question is "should this be a node at all / how do I split the work", route to init; if it's "how do I fix a recurring failure across runs", route to enhance.

Law 0 — the template is the truth; author by DATA, verify by COMPILE

• Every per-node standard lives in ONE node.json (contract-as-data): deps · prompt · tools · mcp · inject · contract · checks/policy (or op[]) · hooks · return. Nothing is scattered. Editing a node = editing its node.json (+ its prompt.md prose); the engine loads the change automatically.
• Author by FLAG, not by hand-editing JSON. The scaffold loop emits every field deterministically from flags: piflowctl add-node <dir> --id … [--dep …] [--tool …] [--artifact …] [--owns …] [--check …] [--gate-run …] [--judge …] [--checkpoint …] [--promote …] …. The only prose you Write by hand is nodes/<id>/prompt.md (and a judge's judge.md). Full flag surface: piflow-init SKILL "Gates, judges, checkpoints, and control are FLAGS".
• piflowctl extract <dir> (the real loadTemplate gate) is the oracle — a 0 exit means the DAG compiles; a non-zero names the malformed field. Never trust a glance at the JSON; run extract after every change. The compile step is the workflow's tsc: a malformed node fails in ms at author time, not after a 20-min pi run.
• workflow.json is GENERATED, never hand-edited — the compile step chains every node.json deps into it (add a node = drop a folder; no manifest edit). You read/diff it; you change a node.json's deps and rebuild. A piflowctl check gate fails if it's stale.
• Ground truth: docs/design/template-format.md (the D8 keystone — §3 node def · §4 hooks/checks · §7 token vocab · §10 instantiation) + slice piflowctl understand runner.

1. The node lifecycle — the exact spine (verified, not trusted)

runFromTemplate = load → instantiateRun (materialize ${RUN}/.pi/nodes/<id>/) → compile → runWorkflow. runWorkflow walks the topological stages in order (Promise.all per stage, concurrency-capped, HALT on the first error/blocked). Same-stage nodes with write-disjoint owns run as a parallel lane. Nodes NEVER call each other — they coordinate ONLY through files on disk; the filesystem IS the contract.

Each node runs through runNode (packages/core/src/runner/node-lifecycle.ts:114), in this fixed order:

1. bind-check — verifyToolBinding runs LOUD and EARLY (before pi spawns): an oc.*/mcp.* address absent from the catalog, or two addresses colliding on one bare name → the node is blocked before any model runs.
2. create the sandbox lane + stage reads / seed (the PRE transforms stage inputs the model will read).
3. PRE ops — pre-gate (checks over the staged inputs, BEFORE the model) · pre-run · inject-fold (the forced-read files fold into the realized prompt).
4. write the prompt + DRIVER-* markers, resolve {{WORKSPACE}}/{{RUN}}, then EXEC exactly ONE headless pi -p --mode json (per-node model/provider resolved by defaultPiCommand).
5. collect the model's outputs back to the host run dir.
6. verify — the POST gate engine (evaluateChecks(effectiveChecks(…))), host-stat every declared artifact, schema check, return check.
7. POST ops — transform (project/merge/promote) · run · promote (lift into a state channel).
8. on-failure — retry → escalate → reroute → notify (§5), filtered by the derived FailureClass.
9. finishNode stamps the terminal verdict into the run's .pi/ tree (run.json + a journal entry).

The 9 terminal verdicts (runner/status.ts:18 — a watcher polls exactly these):

status	meaning
pending	not yet run (inside the selected --from/--until window)
running	exec in flight
ok	clean exit AND every declared artifact present on disk
gap	self-reported NON-fatal gap, honored from the node's return
blocked	a required artifact is missing / a blocking gate failed — beats any self-report
error	killed (timeout/stall) or nonzero exit / degenerate run
reused	upstream node skipped, artifacts reused (--from resume)
awaiting-input	a human checkpoint is PARKED, waiting for a reply (G5)
dry	dry-run: command built, not executed

Law: ok is decided by the driver stat()ing the contract's artifacts, NOT by the model's message — a clean exit that did not leave a required artifact is blocked. Verified, not trusted. Slice: piflowctl understand runner.

2. The op[] envelope — the ONE canonical node-action format

Every side-effect a node performs is a canonical op[] (OpSpec, packages/core/src/types.ts:104). The ergonomic aliases (hooks / checks / policy / inject / tools / mcp) are SUGAR the loader lowers INTO op[] (workflow/template/lower.ts) — authoring either the aliases or op[] directly is fine; they converge on the same envelope. Prefer the aliases for the common cases; reach for raw op[] for the long tail.

interface OpSpec {
  id?; when?;         // when: 'pre' | 'post' | 'on-success' | 'on-failure' | 'always'   (default 'post')
  reads?; writes?;    // files read/written — fold into DAG edge inference (+ pre-op reads fold into the prompt)
  onFailure?;         // 'block' | 'warn' | 'stop' | 'retry' | 'escalate'                (default 'block')
  idempotent?;        // skip when outputs fresh                                          (default true)
  // EXACTLY ONE body (the discriminator — a multi-body op is rejected at load):
  transform?; run?; gate?; action?;
}

The four bodies (an op is exactly one of them):

body	verb	shape	fires
transform	DERIVE	seed{from} · project{ops?,from?} · merge{ops} · promote{from,to,reducer?} · projectRegistry{…}	seed = PRE; the rest = POST
run	ACT	{cmd,args?,cwd?} or {fn} — a deterministic shell/fn side-effect, NEVER an LLM	POST only
gate	DETECT	{kind,path?,param?,advisory?} — a pure predicate over reads emitting a verdict	PRE or POST
action	CONTROL	retry{max,onVerdict?} · escalate{via,evidence?} · notify{channel,payload?} · rerouteTo{node,max,evidence?}	on-failure / on-success

Deprecated-alias → op[] map (the migration table, node-action-protocol.md §2.2) — all still supported:

• hooks.seed:[{to,from}] → {when:'pre', writes:[to], transform:{kind:'seed',from}}
• hooks.project|merge|promote → {when:'post', transform:{kind:…}}
• checks.post:[Check] → {when:'post', gate:{…}, onFailure:<from policy>}
• checks.pre:[Check] → {when:'pre', gate:{…}} (runs BEFORE the model — a real pre-gate, not a flattened post)
• policy:{fail,warn} → folded into each gate's onFailure
• inject:[path] → {when:'pre', reads:[path]} whose reads folds into the prompt

Ground truth: docs/design/node-action-protocol.md (the as-built architecture) + slice piflowctl understand node-action-protocol (owns packages/core/src/checks.ts).

3. WHERE does a script go? — PRE vs POST, and the op syntax

This is the most-asked standard. A "script" is a deterministic step with no model judgment — decide its home by the mechanical → driver op law, then use the exact syntax.

Decide the kind first — "is this output a fixed function of already-frozen on-disk inputs, with no judgment?"

• YES → a deterministic driver op (a TESTED code path, not a per-run gamble). Which op:
  • STAGE a file the model then reads (PRE) → a seed transform. PRE can do exactly ONE thing: stage a file.

    { "hooks": { "seed": [{ "to": "spec/skeleton.json", "from": "{{WORKSPACE}}/templates/skel.json" }] } }
    // ≡ op: [{ "when":"pre", "writes":["spec/skeleton.json"], "transform":{"kind":"seed","from":"…"} }]
    

  • RUN a shell command (POST) → a run op, whose non-zero exit routes through onFailure. Or the flags: --gate-run <cmd> for a test/build/lint GATE (non-zero BLOCKS), vs --merge-run <cmd> for a data-DERIVE with no verdict (generate an asset). run and promote are POST-only — op-dispatch REJECTS a when:'pre' run.

    { "op": [{ "when":"post", "run":{"cmd":"npm","args"   
    

Which NODE hosts the script:

• Fold into the CONSUMING agent node's PRE-hook — the default for pure file-STAGING (reuse, zero new node).
• Its OWN programmatic: true node (no prompt/tools/return; its op/hooks + checks ARE the node) when ANY holds: (1) no consuming agent node is guaranteed to run every run (a profile/--until may end the run on this step); (2) the step needs its own node-scoped reroute; or (3) the step RUNS a shell command or PROMOTES shared state — a pre-hook can do NEITHER, so this class is ALWAYS its own UPSTREAM programmatic node.
• A custom op the generic families don't cover → a scripts/<op>.mjs in the template + a hooks/ binding; the generic executors (seed/project/merge/promote/checks) live in @piflow/core.

Ground truth: piflow-init SKILL "Split MECHANICAL from INTELLIGENT" + reference/artifact-contract.md (the DRIVER-* marker grammar). Marker-grammar trap: skeleton guide prose must be quote-safe — never a bare single-word bracket token (<id>); use the colon-bearing <FILL:…> sentinel.

4. Gates — detection ⊥ consequence (never conflate them)

A gate DETECTS; a policy decides the CONSEQUENCE. They are SEPARATE so one check is reusable under any consequence (the same "schema invalid" can retry on one node and escalate on another).

• checks.pre = over staged INPUTS before the model; checks.post = over produced ARTIFACTS after. A check emits a VERDICT only (fail/warn), from the pure predicate registry CHECK_KINDS (checks.ts:62: exists · non-empty · json-parses · count-floor · …). advisory:true = a non-blocking gate.
• policy maps the verdict → block | warn | stop | retry | escalate (actionForVerdict, checks.ts:154). stop is a documented ALIAS of block (both drain same-stage siblings, then halt before the next stage).
• The additive gate LIST (gates:[], the CURRENT model) — a typed, append-only list, three entry types (docs/design/gate-list-and-additive-profiles.md), each lowering onto machinery that already exists:

  type	what it is	lowers to
  execution	a deterministic check OR a shell cmd ("normally always holds")	op.gate folded into io.checks, or op.run
  agentic	a judge on a DIFFERENT model	a materialized <id>__judge node
  hitl	a human checkpoint	the G5 checkpoint field
  The TEMPLATE default carries execution gates only; agentic/hitl are added by a PROFILE (§6). There are
  no on/off switches — composition is append-only.

• Flags: --check <kind[:path[:severity[:param]]]> (post) · --check-pre … (pre) · --on-fail/--on-warn block|warn|stop · --gate-run <cmd> (execution gate) · (a judge — the MUST differ from the node's ; Write FIRST).

5. The four re-attempt axes — never conflate them (above all, never call reroute "retry")

axis	what it is	discriminator
VERIFY	a gate node judges an already-produced artifact + writes a pass/fail verdict	re-runs nothing, creates nothing load-bearing (VALIDATION_FAILED is a value INSIDE the JSON)
RETRY	the runner's bounded mechanical re-run of the SAME node because ITS OWN exec failed (retry.ts)	a runtime loop around one node, blind to any verify verdict; optional single model escalate
REROUTE	a verify FAIL re-invokes an ANCESTOR producer (a bounded QA self-fix), UNROLLED at compile time	reroute:{onFail:<ancestor>, max} → acyclic clones, never a runtime back-edge; target MUST be a strict ancestor
OPTIMIZE	an out-of-band, human-gated, cross-run edit of the node/template ITSELF (piflowctl optimize)	improves the NODE, never recovers a single run — this is piflow-enhance's territory, not maintenance

escalate = on a VERIFIED failure, re-run on a stronger cross-family model fed the failure facts (consultPreamble), resolved via escalate.tier/escalate.model through model-routing.ts. Slice: piflowctl understand runner (DRIFT NOTE: retry/escalate/reroute live in runner/retry.ts + the workflow/reroute/expand.ts compile pass).

6. How a node FINISHES — the return contract (verified, not trusted)

Every node ends with ONE fenced json block = its self-report (the rendered Definition-of-Done prose tells the model to). But the self-report is honest only when the model is, so the driver's verdict comes from the FILESYSTEM, not the message:

• Declared contract.artifacts are stat()'d on disk — a clean exit missing a required artifact is blocked, not ok. This is the load-bearing completion signal. The self-reported list is advisory.
• submit_result (contract:submit_result, the first-party typed terminating RETURN tool) — OPT-IN: a node declares it in tools.allow, which gives the driver a generated -e extension that binds a typed return. Reach for it where the driver must reliably INTERPRET the non-Claude model's free-form output (the return parser is the single most-patched surface); the driver keeps a fenced-tail fallback so it never breaks a run.
• returnMode (contract.returnMode, types.ts:349): optional (the default WHEN artifacts are declared) | required — required is the zero-artifact gate-node idiom: the return JSON IS the deliverable, so its presence + shape is the gate. (returnMode:'required' ≡ gate{kind:'json-schema', onFailure:'block'}.)
• return/returnSchema validates the SHAPE of the fenced tail (DISTINCT from returnMode, which says WHETHER a return is mandatory). Validated off-disk after the node.

The standard for finishing a node: declare the REQUIRED artifacts in contract.artifacts (that is what "done" means); end the prompt with the fenced-JSON self-report; add submit_result only when the return value (not a file) is what downstream code parses; use returnMode:'required' only for a node whose whole job is the return (a gate/decision node that writes no artifact). Ground truth: packages/core/src/contract.ts, packages/core/src/tools/contract-tool.ts.

7. State channels & promote — how a value crosses nodes

A node NEVER writes state.json. To make a value visible downstream, a POST promote op lifts a node output into a RunState channel; the DRIVER applies the channel reducer (set default · append · deepMerge) and merges at the stage barrier. Downstream nodes read it as a deferred {{state.<channel>}} token, resolved at node launch from {{RUN}}/.pi/state.json.

{ "hooks": { "promote": [{ "from": "spec/classification.json:archetype", "to": "archetype", "merge": "set" }] } }

• The DAG is STATIC — state drives VALUES, never routing (D6). A promoted value reaches a consumer only via a completed upstream node's POST promote; a PRE-hook cannot promote (so a value-establishing step is always its own UPSTREAM node — §3).
• from is token-resolved like every field — a file-sourced promote from (e.g. spec/x.json:archetype) passes through the SAME single resolver as any marker path ({{WORKSPACE}}/{{RUN}}/{{state.*}}, §9); a path not expressible in that vocabulary is a design smell.

8. Run PROFILES — how to set one up

A profile is a named, per-product run MODE, declared as DATA (the SDK carries none of the vocabulary).

• CURRENT model — the additive gate overlay (gate-list-and-additive-profiles.md): a profile is a sparse overlay template/profiles/<name>.json that names only the nodes it modifies and APPENDS gates (typically agentic/hitl) to them. Running with no profile = the pure-template compile (execution gates only). It is append-only — a profile never subtracts a node.
• DEPRECATED model — elidePhases (subtractive; workflow/profile.ts, still wired via applyProfileByName but fires a loud warning): meta.json declares profiles + defaultProfile, each a node-ELISION predicate keyed by a shared phase tag. Only nodes that CREATE NOTHING may be elided — that is the verify-node law: drop the gate phase and every key artifact still exists because PRODUCERS made them. A verify node that is also a producer can't be elided — split it first.

  // meta.json (elidePhases model — deprecated but present)
  "profiles": { "production": {}, "companion": { "elidePhases": ["verify-1", "verify-2"] } },
  "defaultProfile": "production"
  

• Selecting one is a RUN concern — --profile <name> (piflow-start owns it; packages/cli/src/run.ts:273).
• Standard: default to ONE profile unless the workflow genuinely needs a gate-lighter dev posture; when it does, prefer the additive overlay for NEW work. When gates are elided, the orchestrator IS the verifier (judge each artifact against the gold sample + the criteria fixture — a piflow-enhance concern).

9. The vocabulary you must get right (tokens · read-scope · contract fields)

• Path/value tokens (one resolver, every field): {{WORKSPACE}} (canonical, read-only) · {{RUN}} (per-thread) · {{state.<channel>}} (deferred RunState). A path not expressible in this vocabulary is a design smell. On-disk the delimiter is {{ }} (some older prose writes ${…} as shorthand).
• Two KINDS of read (get this right or the model over-reads or reads stale bytes):
  • inject = KIND 1 FORCED — small · always-needed · stable files, pre-read and embedded in the prompt as authoritative context (guaranteed sight, no explore). The inject set must be inside readScope.
  • contract.readScope = KIND 2 EXPOSED — directory trees the model NAVIGATES via its read tool (skills, the registry, a producer's artifact a later node consumes). Large · optional · mutable → EXPOSED, never injected (injection would freeze a stale copy; a tool read sees current bytes). Under --sandbox, readScope is ALSO the OS-enforced read allow-list.
• contract fields: artifacts (REQUIRED outputs, stat()'d → blocked if missing) · owns (write authority; write-disjoint owns = a parallel lane) · readScope · schema · returnMode · fillSentinel.
• Ground truth: docs/design/template-format.md §3 / §6a / §7.

The laws (the standards, condensed)

• The template is the single source of truth; author by DATA, verify by piflowctl extract. workflow.json is generated, never hand-edited.
• Verified against the declared contract, not the self-report — ok iff the declared artifacts exist on disk.
• One node, one job. A producer CREATES each key artifact; a verify node judges + may self-fix but NEVER creates the load-bearing artifact (the test: remove the verify node and the producing flow still yields every key artifact). This is what makes the verify phase safely elidable.
• Driver owns the graph; pi owns the node. Plain code decides stage order + parallel lanes + halt-on-failure; the model never decides control flow. Nodes coordinate ONLY through files.
• run and promote are POST-only; a PRE-hook can only STAGE a file — a step that runs a shell command or promotes shared state is always its own upstream programmatic node.
• Detection ⊥ consequence — a gate/check emits a verdict; policy/onFailure decides the action; never fuse them.
• The workflow orchestrates; the SKILL carries the craft — a node body is a THIN pointer (who · reads what · writes what · load-and-follow), the method lives in its skill; never restate craft in the node body.
• An output edit is not done until its CONSUMERS are reconciled — a node's artifact is an interface; change its shape/name/fields and every downstream reader breaks. Reconcile them, then grep for the old shape.

Verify + go deeper

• Understand a subsystem before editing it: piflowctl understand <area> (the canonical slice) then piflowctl understand --check <key> (freshness) — the slices runner and node-action-protocol own this skill's spine. Do NOT re-map from scratch.
• Ground-truth design docs: docs/design/template-format.md (node def · tokens · rendering) · docs/design/node-action-protocol.md (the op[] architecture) · docs/design/gate-list-and-additive-profiles.md (gates + profiles) · docs/design/profiles-and-resume-robustness.md (the elision primitive).
• To CREATE the workflow use piflow-init · to RUN it use piflow-start · to IMPROVE it use piflow-enhance · to LOOK INTO a run use piflow-inspect.

Self-check (before you rely on a standard from this skill)

• Did I answer with the CANONICAL construct (the right op/hook/gate/profile), not an ad-hoc one? Is the op when lane legal (run/promote are POST-only)?
• Did I preserve "verified, not trusted" — is the node's "done" defined by a declared artifact (or a returnMode:'required' return), not a self-report?
• Is detection kept separate from consequence? Is a would-be-elided node a pure non-producer?
• Did I run piflowctl extract (compile) after the edit, and reconcile every consumer of any changed artifact?
• If the question was really "should this node exist / how do I divide the work" → I routed to piflow-init; if "improve across runs" → piflow-enhance. This skill is standards, not those loops.