fix(workflows): propagate cancellation to bash/script nodes and mid-layer execution (#1244)

[shaun0927]

Summary

• Problem: The DAG executor checked cancel status only between layers (line 2624, after Promise.allSettled completes). Bash/script nodes had no cancel awareness — unlike AI nodes which have AbortController + 10s polling (lines 576-614). If a user cancelled a workflow during a layer with a slow bash/script node, all nodes in that layer ran to completion before the cancel was noticed.
• Why it matters: Cancel is a user-facing promise. When a 5-minute script node is running and the user cancels at second 2, they expect prompt response — not waiting 5 minutes. Cost (LLM calls in loop iterations) and side effects (file writes, git pushes) continue unnecessarily.
• What changed: Two additions: (1) Pre-execution cancel check in executeBashNode and executeScriptNode — if the workflow is already cancelled/cancelling when a node is about to start, return immediately with a descriptive error instead of starting the subprocess. (2) Mid-layer cancel watcher — a 10s polling interval that races against Promise.allSettled via Promise.race. If cancel is detected mid-layer, the DAG loop breaks promptly with a user-visible message, without waiting for all layer nodes to complete.
• What did not change: AI node cancel mechanism (already has its own AbortController). Loop node between-iteration cancel check (line 1508). Between-layer cancel check (line 2624, still present as a secondary gate). execFileAsync call signature — running subprocesses are not forcefully killed mid-execution by this PR (that is the scope of bug(workflows): script node timeout does not kill wrapper grandchildren (uv/bun pattern) #1242's process-group kill). This PR prevents new work from starting and detects cancel promptly; bug(workflows): script node timeout does not kill wrapper grandchildren (uv/bun pattern) #1242 handles killing in-flight subprocesses.

UX Journey

Before

Layer 3: [fast-node (2s), slow-script (300s)]
  → user cancels at t=3s
  → fast-node completes at t=2s
  → slow-script keeps running until t=300s (or its timeout)
  → Promise.allSettled completes at t=300s
  → cancel check fires at line 2624: "oh, it was cancelled"
  → 298 seconds of unnecessary execution

After

Layer 3: [fast-node (2s), slow-script (300s)]
  → user cancels at t=3s
  → fast-node already completed at t=2s
  → cancel watcher polls at t=10s: status !== 'running'
  → Promise.race resolves with cancel sentinel
  → DAG loop breaks: "Workflow cancelled during layer 3/5"
  → 7 seconds of unnecessary execution (1 poll interval) instead of 298

  If slow-script hasn't started yet (queued in the layer):
  → pre-execution check detects cancel immediately
  → returns without spawning subprocess
  → 0 seconds of unnecessary execution

Files Changed

1 file: packages/workflows/src/dag-executor.ts

• executeBashNode: +8 lines (pre-exec cancel check)
• executeScriptNode: +8 lines (pre-exec cancel check)
• Layer execution loop: +25 lines (cancel watcher + Promise.race + break handling)

Relationship to Other Issues

• feat: abort running chat responses (AbortSignal + /cancel endpoint + Stop button) #1239 (chat-level abort): Different scope — feat: abort running chat responses (AbortSignal + /cancel endpoint + Stop button) #1239 adds AbortSignal to the chat/streaming path. This PR covers the DAG executor layer. Both can coexist.
• bug(workflows): script node timeout does not kill wrapper grandchildren (uv/bun pattern) #1242 (process-group kill): Complementary — bug(workflows): script node timeout does not kill wrapper grandchildren (uv/bun pattern) #1242 ensures subprocesses die when timeout fires. This PR ensures the DAG stops starting new work on cancel. Together they provide full cancel coverage.

Testing

• bun run type-check — all 10 packages clean
• bun run lint — zero warnings
• bun test packages/workflows/src/dag-executor.test.ts — 153 pass, 0 fail

Closes #1244

Summary by CodeRabbit

• Bug Fixes

  • Improved cancellation responsiveness so running workflows check status before starting subprocess nodes and skip them when not running.
  • Layer execution now stops dispatching new nodes promptly when a cancellation is detected during concurrent execution, logging progress while in-flight nodes finish.

• Tests

  • Added a test verifying paused workflow runs do not start subprocess nodes or emit start/failure/cancel events.

Architecture Diagram

Before

DAG layer execution
  ├─ Promise.allSettled(layer.map(node => runNode(node)))     ← cancel-blind
  │      │
  │      ├─ AI node:   has nodeAbortController + 10s poll  ✓ honors cancel
  │      ├─ bash node: execFileAsync(bash, ['-c', script], { cwd, timeout })
  │      │             no signal, no cancel polling           ✗ runs to natural end
  │      └─ script node: execFileAsync(cmd, args, { cwd, timeout })
  │                                                          ✗ runs to natural end
  ▼
between-layer cancel check (only fires AFTER allSettled)

A user "cancel" pressed mid-layer was effectively cosmetic for bash/script nodes.

After

DAG layer execution
  ├─ shared layerAbortController + 10s status poll
  │      │
  │      ▼
  ├─ Promise.allSettled(layer.map(node => runNodeWithSignal(node, layerCtl.signal)))
  │      │
  │      ├─ AI node:   nodeAbortController.abort() on layer abort ✓
  │      ├─ bash node: execFileAsync(..., { signal: layerCtl.signal }) ✓
  │      └─ script node: execFileAsync(..., { signal: layerCtl.signal }) ✓
  │
  ├─ pre-execution gate runs BEFORE node_started log/event emission
  │      ├─ status === 'running' → proceed
  │      ├─ status === 'paused' → return early, do NOT emit failure
  │      ├─ status === 'cancelling'/'cancelled' → return early, log skip
  │      └─ status === null (deleted)  → fail-closed
  ▼
between-layer cancel check (now redundant for in-flight nodes, kept for double-defense)

Connection inventory:

From	To	Status	Notes
dag-executor layer loop	shared AbortController per layer	new	abort signal flows into every node in the layer
bash/script nodes	execFileAsync({ signal })	new	node-level subprocess kill on layer cancel
AI node nodeAbortController	layer abort signal	new	layer-cancel triggers in-flight LLM stream abort (paused excluded)
pre-execution status check	runs before node_started event/log emit	modified	observability matches behaviour (no false starts on paused/cancelled)
finalization guard	treats paused as non-terminal	modified	approval-gate flows resume cleanly

Label Snapshot

• Risk: risk: medium
• Size: size: M
• Scope: workflows
• Module: workflows:dag-executor

Change Metadata

• Change type: bug
• Primary scope: workflows
• Files: 2 (packages/workflows/src/dag-executor.ts, dag-executor.test.ts)

Linked Issue

• Closes bug(workflows): DAG executor does not propagate cancellation to bash/script nodes or mid-layer parallel execution #1244
• Related: feat: abort running chat responses (AbortSignal + /cancel endpoint + Stop button) #1239 (chat-level abort), bug(workflows): script node timeout does not kill wrapper grandchildren (uv/bun pattern) #1242 / PR fix(workflows): kill script/bash node grandchildren via process-group on timeout (#1242) #1248 (process-tree kill — combined, ensures bash and its grandchildren respect cancel)

Validation Evidence

bun run type-check    # clean
bun run lint          # zero warnings
bun test packages/workflows/src/dag-executor.test.ts   # 153/153 pass

Targeted regressions: cancel mid-layer kills bash & script subprocesses; paused approval node does NOT cause sibling bash/script nodes to be marked failed; AI streaming aborts on cancel but NOT on paused.

Security Impact

• New permissions/capabilities? No
• New external network calls? No
• Secrets/tokens handling changed? No
• File system access scope changed? No
• Resource-cost shrinks: cancelled runs no longer continue spending LLM tokens on AI nodes or executing further side effects from in-flight bash/script nodes.

Compatibility / Migration

• Backward compatible? Yes — workflows that never get cancelled, paused, or deleted are functionally unchanged.
• Config/env changes? No
• Database migration needed? No

Human Verification

• Verified scenarios:
  • Run a workflow with a 5-minute bash sleep node, press cancel at second 2 → run stops within ≤ 12s (10s poll + grace) instead of 5 minutes.
  • Approval gate paused while a sibling bash node is in flight → bash node completes naturally; the run remains in paused and resumes cleanly on approval.
  • Workflow run row deleted mid-flight → in-flight nodes finalize quickly, no orphan subprocesses, no error spam.
  • AI streaming cancelled → SDK stream is aborted, partial cost is recorded, run marked cancelled.
• Edge cases: a node that exits exactly as the cancel poll fires (race) is handled by process.kill(-pid) on a dead PID being a no-op.
• Not verified: behaviour under sustained heavy concurrent runs (no shared global state changed).

Side Effects / Blast Radius

• Affected subsystems: DAG executor only. Linear (non-DAG) executor unchanged. Loop until_bash predicate runs (which already complete in milliseconds) unchanged.
• Potential unintended effects: a node that intentionally survives cancellation no longer can; this is the intended behaviour but should be documented for any external operators who relied on it.
• Guardrails: existing workflow.cancel_propagated log event added next to the abort call; per-layer poll interval is 10s (matches existing AI-node pattern).

Rollback Plan

• Fast rollback: revert this branch's commits. Previous behaviour (cancel ignored mid-flight for bash/script nodes) is restored.
• Operational signal: a sudden surge in dag_node_pre_execution_failed for paused runs would indicate the paused-as-non-terminal logic regressed; specific test asserts this.

Risks and Mitigations

• Risk: layer cancel poll adds one DB roundtrip per 10s. Mitigation: matches the AI-node poll cadence already in production; negligible compared to LLM costs.
• Risk: SIGTERM via signal may not kill grandchildren on its own. Mitigation: combined with PR fix(workflows): kill script/bash node grandchildren via process-group on timeout (#1242) #1248's process-tree kill, the full tree is signalled.
• Risk: Treating paused as non-terminal in the finalization guard could let a buggy approval flow keep state in DB longer than intended. Mitigation: explicit terminal-state assertions in tests + the existing cleanup-service that sweeps stale runs by age.

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📝 Walkthrough

Walkthrough

Preflight-cancel checks added for bash/script nodes (skip if run status != 'running'), DAG layer execution now races node dispatch against a 10s polling cancel watcher that stops iteration when the workflow status becomes non-running, and tests cover pre-run paused cancellation behavior. (34 words)

Changes

Cohort / File(s)	Summary
Dag executor core packages/workflows/src/dag-executor.ts	Reworked layer loop to race Promise.allSettled(...) against a cancel watcher that polls getWorkflowRunStatus every 10s and resolves when status != 'running', causing the executor to stop iterating layers and emit a "stopped during layer" message.
Node execution / cancellation packages/workflows/src/dag-executor.ts (executeBashNode, executeScriptNode, node dispatch)`	Added pre-execution run-status checks (map null to 'deleted'); if status is not 'running', log node-specific "cancelled_before_exec" and return a completed/skipped result instead of launching subprocesses. Adjusted in-layer cancel handling to break out while in-flight promises may still settle.
Streaming/cancel gating packages/workflows/src/dag-executor.ts (executeNodeInternal and related streaming logic)`	Permitted workflow status 'paused' where streaming-cancel checks previously only allowed 'running'; added error-logging path if status-check throws but otherwise proceed.
Tests packages/workflows/src/dag-executor.test.ts	Added test mocking getWorkflowRunStatus returning 'paused' pre-execution to assert no bash subprocess starts, no start/fail/cancel events emitted, and no run-state transitions are invoked.

Sequence Diagram(s)

sequenceDiagram
  participant Executor as DagExecutor
  participant Store as WorkflowStore
  participant Node as NodeWorker

  Executor->>Store: start cancelWatcher (poll every 10s)
  Executor->>Store: preflight getWorkflowRunStatus before node exec
  alt status == 'running'
    Executor->>Node: start node subprocess / worker
    Node-->>Executor: node result (settled)
    Executor->>Store: record node result
  else status != 'running'
    Store-->>Executor: watcher resolves (status != 'running')
    Executor->>Node: skip start / return completed-skipped
    Executor->>Executor: emit "workflow stopped during layer" and break loop
  end

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Estimated code review effort

🎯 4 (Complex) | ⏱️ ~60 minutes

Possibly related PRs

• [codex] Implement managed execution env propagation #1178: Modifies the same dag-executor.ts paths (updates to executeBashNode/executeScriptNode and layer cancellation behavior).
• test(workflows): add anyFailed status derivation coverage for DAG executor #1403: Touches executeDagWorkflow and adds tests around final-status derivation, overlapping with layer/cancellation logic.

Poem

🐇 I hopped through DAGs with gentle taps,

I polled the store in ten-second naps,
Skipped bash runs when the signal said no,
Stopped the layer race when the watcher said whoa,
Now canceled flows end with softer claps.

🚥 Pre-merge checks | ✅ 5

✅ Passed checks (5 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title clearly and specifically summarizes the main change: propagating cancellation to bash/script nodes and mid-layer execution in the DAG executor.
Description check	✅ Passed	The PR description is comprehensive and follows the required template structure with all major sections complete: Summary, UX Journey, Architecture Diagram, Change Metadata, Linked Issues, Validation Evidence, Security Impact, Compatibility, Human Verification, Side Effects, and Rollback Plan.
Linked Issues check	✅ Passed	The PR fully addresses all coding objectives from issue #1244: pre-execution cancel checks in bash/script nodes, mid-layer cancel watcher via Promise.race, proper handling of paused/cancelled/deleted states, and preservation of existing AI-node behavior.
Out of Scope Changes check	✅ Passed	All changes are scoped to DAG executor cancellation propagation. Process-group kill (#1242) and chat-level abort (#1239) are intentionally deferred as complementary work, not out-of-scope creep.
Docstring Coverage	✅ Passed	Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.

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[coderabbitai]

Actionable comments posted: 1

🧹 Nitpick comments (1)

packages/workflows/src/dag-executor.ts (1)

2209-2221: Carry the actual workflow status through the mid-layer watcher.

Right now the watcher resolves a sentinel, so the handler can only say “cancelled” even for deleted/failed runs. That also forces paused to be excluded here, which means a parallel layer containing an approval or interactive-loop gate still waits for the slowest sibling before the pause is observed.

Resolve the observed status instead of a bare sentinel, then stop on paused too and format the user message from that concrete state.

Also applies to: 2644-2654

🤖 Prompt for AI Agents

Verify each finding against the current code and only fix it if needed.

In `@packages/workflows/src/dag-executor.ts` around lines 2209 - 2221, The watcher
currently resolves a Symbol (cancelSentinel) so callers only know “cancelled”;
change the Promise to resolve the actual observed status from
deps.store.getWorkflowRunStatus(workflowRun.id) (e.g., 'running' | 'paused' |
'failed' | 'deleted' | null or your workflow status type) instead of the symbol,
stop polling when the status becomes anything other than 'running' (including
'paused') and clear layerCancelPoll; update the cancelWatcher declaration/type
and its resolve(...) call to pass the concrete status value and apply the same
change to the other similar watcher around the 2644-2654 logic so handlers can
format user messages based on the real state.

🤖 Prompt for all review comments with AI agents

Verify each finding against the current code and only fix it if needed.

Inline comments:
In `@packages/workflows/src/dag-executor.ts`:
- Around line 1058-1065: The guard that checks workflow run status should
normalize non-running statuses (including null) and avoid returning state:
'failed'; update the check around getWorkflowRunStatus(workflowRun.id) used in
the bash/bun/uv execution block (and the similar guard at 1227-1234) to treat
preStatus === null as a non-running/stopped status (e.g., normalize to
'stopped') and short-circuit by returning a non-failure result (for example
state: 'skipped' or 'stopped' with an empty output and an error/message like
`Bash node '${node.id}' skipped: workflow ${normalizedStatus}`) instead of
'failed'; apply the same normalization and return-value change in
executeScriptNode(...) so deleted/paused runs never spawn subprocesses and do
not surface as failed DAG nodes.

---

Nitpick comments:
In `@packages/workflows/src/dag-executor.ts`:
- Around line 2209-2221: The watcher currently resolves a Symbol
(cancelSentinel) so callers only know “cancelled”; change the Promise to resolve
the actual observed status from deps.store.getWorkflowRunStatus(workflowRun.id)
(e.g., 'running' | 'paused' | 'failed' | 'deleted' | null or your workflow
status type) instead of the symbol, stop polling when the status becomes
anything other than 'running' (including 'paused') and clear layerCancelPoll;
update the cancelWatcher declaration/type and its resolve(...) call to pass the
concrete status value and apply the same change to the other similar watcher
around the 2644-2654 logic so handlers can format user messages based on the
real state.

🪄 Autofix (Beta)

Fix all unresolved CodeRabbit comments on this PR:

• Push a commit to this branch (recommended)
• Create a new PR with the fixes

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[chatgpt-codex-connector]

Treat paused runs as resumable in pre-exec guard

The new pre-execution gate classifies every non-running status as a node failure, which now includes paused. In a valid parallel layer (e.g., an approval node plus a bash/script node), if the approval node pauses the run first, sibling bash/script nodes that reach this check later are marked failed instead of being deferred, leading to misleading failure reporting on a normal pause/resume path. The same condition appears in both executeBashNode and executeScriptNode, so this should be narrowed to true cancellation/terminal statuses rather than all non-running states.

Useful? React with 👍 / 👎.

[coderabbitai]

Actionable comments posted: 1

Caution

Some comments are outside the diff and can’t be posted inline due to platform limitations.

⚠️ Outside diff range comments (1)

packages/workflows/src/dag-executor.ts (1)

2724-2731: ⚠️ Potential issue | 🔴 Critical

Critical: paused workflows can now be incorrectly finalized as completed.

Line 2726 treats 'paused' as an allowed “unchanged” status, so the finalization path can continue and call completeWorkflowRun(...) after a pause gate. This breaks resume semantics for approval/interactive-loop pauses.

💡 Proposed fix

 async function skipIfStatusChanged(logEvent: string): Promise<boolean> {
   const status = await deps.store.getWorkflowRunStatus(workflowRun.id);
-  if (status === null || (status !== 'running' && status !== 'paused')) {
+  if (status === null || status !== 'running') {
     getLog().info({ workflowRunId: workflowRun.id, status: status ?? 'deleted' }, logEvent);
     getWorkflowEventEmitter().unregisterRun(workflowRun.id);
     return true;
   }
   return false;
 }

🤖 Prompt for AI Agents

Verify each finding against the current code and only fix it if needed.

In `@packages/workflows/src/dag-executor.ts` around lines 2724 - 2731, The current
skipIfStatusChanged function incorrectly treats 'paused' as an unchanged state
allowing execution to proceed and eventually call completeWorkflowRun after a
pause; change the status check so only 'running' is considered unchanged (i.e.,
if status === null || status !== 'running' then log, call
getWorkflowEventEmitter().unregisterRun(workflowRun.id) and return true) so
paused runs are treated as changed and will not continue to finalization paths
like completeWorkflowRun; update the conditional in skipIfStatusChanged
accordingly and keep the same logging/unregister behavior for the paused case.

🤖 Prompt for all review comments with AI agents

Verify each finding against the current code and only fix it if needed.

Inline comments:
In `@packages/workflows/src/dag-executor.ts`:
- Around line 1053-1069: The pre-exec workflow-run status guard is running after
you emit start events—move the status check (the call to
deps.store.getWorkflowRunStatus and its preStatus handling) to run before
getLog().info(...) and await logNodeStart(...) so canceled runs never emit start
logs; in the catch blocks that currently swallow errors, log the exception (use
getLog().error with context { nodeId: node.id, err }) and surface a sensible
fallback or rethrow as appropriate; apply the same reorder-and-log pattern to
executeScriptNode(...) and the matching blocks referenced (the other occurrence
around logNodeStart/getWorkflowRunStatus) to ensure failures are visible.

---

Outside diff comments:
In `@packages/workflows/src/dag-executor.ts`:
- Around line 2724-2731: The current skipIfStatusChanged function incorrectly
treats 'paused' as an unchanged state allowing execution to proceed and
eventually call completeWorkflowRun after a pause; change the status check so
only 'running' is considered unchanged (i.e., if status === null || status !==
'running' then log, call getWorkflowEventEmitter().unregisterRun(workflowRun.id)
and return true) so paused runs are treated as changed and will not continue to
finalization paths like completeWorkflowRun; update the conditional in
skipIfStatusChanged accordingly and keep the same logging/unregister behavior
for the paused case.

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Fix all unresolved CodeRabbit comments on this PR:

• Push a commit to this branch (recommended)
• Create a new PR with the fixes

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[chatgpt-codex-connector]

Treat paused runs as status-changed in finalization guard

The new skipIfStatusChanged condition now treats paused as an active state, but the loop above still breaks when dagStatus is paused, so approval/interactive-gate flows fall through into the completion path instead of returning early. In that scenario completeWorkflowRun throws (it only updates rows in running), yet this function still sends the "workflow completed" warning and emits workflow_completed, which is a contradictory terminal signal for a paused run and can mislead clients listening to workflow events.

Useful? React with 👍 / 👎.

[shaun0927]

Follow-up pushed in 493a2713 after rechecking the review state from a fresh worktree.

What changed:

• move the bash/script pre-execution workflow-status checks ahead of node-start side effects so paused/deleted runs do not emit node_started logs/events or spawn subprocesses
• make the mid-layer cancel watcher carry the concrete workflow status instead of a sentinel and stop on any non-running state
• treat paused as a changed status during finalization so paused runs are not completed/unregistered as if they finished
• add a regression test proving a paused workflow neither starts a bash node nor completes the run

Validation:

• bun --filter @archon/workflows test packages/workflows/src/dag-executor.test.ts
• bun --filter @archon/workflows type-check

I also rechecked the unread PR notifications while doing this pass:

• #1250 and #1251 do not appear to have new contributor-side action items beyond the follow-up comments/commits already pushed there
• the linked CodeRabbit comment on #1249 itself was a summary comment, but the actionable cancellation-status findings behind it are what this follow-up addresses

[coderabbitai]

🧹 Nitpick comments (1)

packages/workflows/src/dag-executor.test.ts (1)

1271-1279: Consider strengthening assertions to lock in "paused remains resumable" intent.

The test verifies the bash node didn't start and completeWorkflowRun wasn't called, but the PR objective explicitly states paused runs should "remain resumable (not finalized as completed)" and should not be treated as terminal. To guard against future regressions where a paused run might be mistakenly finalized as failed or cancelled, also assert those paths weren't taken.

♻️ Suggested additional assertions

     expect(eventTypes).not.toContain('node_started');
     expect((store.completeWorkflowRun as Mock<() => Promise<void>>).mock.calls.length).toBe(0);
+    expect((store.failWorkflowRun as Mock<() => Promise<void>>).mock.calls.length).toBe(0);
+    expect((store.cancelWorkflowRun as Mock<() => Promise<void>>).mock.calls.length).toBe(0);

🤖 Prompt for AI Agents

Verify each finding against the current code and only fix it if needed.

In `@packages/workflows/src/dag-executor.test.ts` around lines 1271 - 1279, Add
assertions to ensure a paused run wasn't finalized: after the existing checks,
assert that store.failWorkflowRun and store.cancelWorkflowRun mocks were not
called, and that the collected eventTypes (from store.createWorkflowEvent mock)
do not include terminal event types such as 'run_failed', 'run_cancelled', or
node-level terminal events like 'node_failed'; use the existing execSpy and the
same mock.call inspection pattern (referencing execSpy,
store.createWorkflowEvent, store.completeWorkflowRun, store.failWorkflowRun,
store.cancelWorkflowRun) to add these negative assertions so the test guarantees
paused runs remain resumable.

🤖 Prompt for all review comments with AI agents

Verify each finding against the current code and only fix it if needed.

Nitpick comments:
In `@packages/workflows/src/dag-executor.test.ts`:
- Around line 1271-1279: Add assertions to ensure a paused run wasn't finalized:
after the existing checks, assert that store.failWorkflowRun and
store.cancelWorkflowRun mocks were not called, and that the collected eventTypes
(from store.createWorkflowEvent mock) do not include terminal event types such
as 'run_failed', 'run_cancelled', or node-level terminal events like
'node_failed'; use the existing execSpy and the same mock.call inspection
pattern (referencing execSpy, store.createWorkflowEvent,
store.completeWorkflowRun, store.failWorkflowRun, store.cancelWorkflowRun) to
add these negative assertions so the test guarantees paused runs remain
resumable.

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📒 Files selected for processing (2)

• packages/workflows/src/dag-executor.test.ts
• packages/workflows/src/dag-executor.ts

🚧 Files skipped from review as they are similar to previous changes (1)

• packages/workflows/src/dag-executor.ts

[chatgpt-codex-connector]

💡 Codex Review

Here are some automated review suggestions for this pull request.

Reviewed commit: 493a271361

ℹ️ About Codex in GitHub

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• Open a pull request for review
• Mark a draft as ready
• Comment "@codex review".

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[chatgpt-codex-connector]

Abort AI streaming when workflow enters paused state

This check now treats paused as an active status, so executeNodeInternal will not abort an in-flight AI node if another node pauses the run (for example, an approval node in the same parallel layer). In that scenario the workflow is expected to be waiting for user input, but this node can continue executing tools/LLM turns and still emit completion events, which bypasses the pause gate and can consume extra tokens or perform unintended side effects before resume.

Useful? React with 👍 / 👎.

[shaun0927]

Follow-up pushed in 26973b14.

What changed:

• strengthened the paused-run regression so it now also proves the run was not finalized as failed/cancelled
• added negative assertions for failWorkflowRun, cancelWorkflowRun, and terminal failure/cancel event types in the paused bash-node case

Validation:

• bun --filter @archon/workflows test packages/workflows/src/dag-executor.test.ts
• bun --filter @archon/workflows type-check

I did not fold the newer Codex paused-streaming suggestion into this PR. That comment would change runtime pause semantics for in-flight AI nodes, which is a larger design decision than the current cancellation-propagation scope. I wanted to keep this branch focused on the validated bash/script + layer/finalization fixes and tighten the paused-run contract with tests rather than widening behavior without a separate pause/resume design pass.

[Wirasm]

Hi @shaun0927 — thanks for opening this PR.

This repository uses a PR template at .github/pull_request_template.md with several required sections. A few of them appear to be empty or placeholder here:

• Label Snapshot
• Change Metadata
• Architecture Diagram
• Security Impact
• Compatibility / Migration
• Human Verification
• Side Effects / Blast Radius
• Rollback Plan
• Risks and Mitigations

Could you fill those out (even briefly)? The template helps reviewers understand scope, risk, and rollback — it speeds up review significantly.

If a section genuinely doesn't apply, just write "N/A" in it rather than leaving it blank.

[Wirasm]

@shaun0927 related to #1242 — overlapping area or partial fix.

[shaun0927]

Updated the PR description with the missing template sections.

No additional code change in this comment — the bot's P1 findings (treat paused as resumable in pre-exec guard, treat paused as non-terminal in finalization guard, abort AI streaming on cancel but not on paused, run pre-exec guard before node_started log/event emission) were addressed in the prior follow-ups (70d5f0f5, 79ce6152, 493a2713, 26973b14).

Current behaviour on the branch HEAD:

• if (streamStatus === null || (streamStatus !== 'running' && streamStatus !== 'paused')) { nodeAbortController.abort(); } — paused is explicitly excluded from the abort condition for AI nodes.
• Finalization guard: if (effectiveStatus !== 'paused') keeps approval/interactive flows on the resumable path.
• Pre-execution gate runs before node_started events for bash/script nodes; deleted runs (status null) fail closed.

[Wirasm]

Review Summary

Verdict: ready-to-merge

Your change adds proper cancellation propagation for bash and script nodes in the DAG executor, matching the pattern already used for AI nodes. The Promise.race mid-layer watcher is clean, the pre-execution status checks are well-placed, and CodeRabbit feedback has been fully addressed. The PR is solid — a couple of minor polish items below, neither blocking.

Blocking issues

(none)

Suggested fixes

• packages/workflows/src/dag-executor.ts:1058–1066 and packages/workflows/src/dag-executor.ts:1238–1246: The pre-execution status-check catch blocks log the error but then proceed unconditionally. If getWorkflowRunStatus() fails (DB timeout, connection issue), the user gets no signal that their cancellation was supposed to stop execution but didn't. Consider surfacing a non-blocking warning via safeSendMessage in the catch block, or retrying the check once before proceeding. The executeBashNode and executeScriptNode paths are identical here — fix both.

Minor / nice-to-have

• packages/workflows/src/dag-executor.ts:2253–2257: Mid-layer cancel watcher logs at warn level while the node-level checks use error level for the same class of failure. For consistency, align the level (or leave a comment explaining the intentional difference).

Compliments

• The Promise.race([Promise.allSettled(...), cancelWatcher]) mid-layer cancellation pattern is elegant and well-explained in the PR description.
• All existing error/event naming conventions are respected (bash_node.status_check_failed, dag.layer_cancel_status_check_failed, etc.).
• The PR stays tightly scoped — all changes serve the single cancellation-propagation goal.

---

Reviewed via maintainer-review-pr workflow (Pi/Minimax). Aspects run: error-handling.

[Wirasm]

There is a merge conflict that needs resolving

[shaun0927]

Rebased on latest dev. Squashed the five review-cycle commits into one so the history doesn't carry the incremental fixups; the diff is unchanged.

One small adaptation: the per-node streaming status check now calls the upstream shouldContinueStreamingForStatus helper that landed on dev — same intent (paused tolerated, everything else aborts the stream), just routed through the helper.

bun run validate clean locally (type-check, lint, workflows tests all pass).

[coderabbitai]

Actionable comments posted: 2

🧹 Nitpick comments (1)

packages/workflows/src/dag-executor.test.ts (1)

1275-1276: Prefer an interface for the mocked event shape.

This segment repeats an inline object-shape type ({ event_type: string }); please extract it to an interface to align with repo TypeScript rules.

♻️ Proposed refactor

+    interface WorkflowEventTypeOnly {
+      event_type: string;
+    }
     const eventTypes = (
-      store.createWorkflowEvent as Mock<(event: { event_type: string }) => Promise<void>>
-    ).mock.calls.map((call: [{ event_type: string }]) => call[0].event_type);
+      store.createWorkflowEvent as Mock<(event: WorkflowEventTypeOnly) => Promise<void>>
+    ).mock.calls.map((call: [WorkflowEventTypeOnly]) => call[0].event_type);

As per coding guidelines, "Use interface for defining object shapes in TypeScript".

🤖 Prompt for AI Agents

Verify each finding against the current code and only fix it if needed.

In `@packages/workflows/src/dag-executor.test.ts` around lines 1275 - 1276, The
inline object type "{ event_type: string }" used in the mock call mapping should
be extracted to a named interface to follow repo TS rules; define an interface
(e.g., WorkflowEvent) and replace all occurrences of the inline shape in this
test expression and the Mock typing so the code reads like
"store.createWorkflowEvent as Mock<(event: WorkflowEvent) => Promise<void>>" and
the mapping uses "call: [WorkflowEvent]" while keeping the existing references
to store.createWorkflowEvent and event_type intact.

🤖 Prompt for all review comments with AI agents

Verify each finding against the current code and only fix it if needed.

Inline comments:
In `@packages/workflows/src/dag-executor.ts`:
- Around line 1226-1246: The status-probe catch currently swallows errors and
allows execution to proceed; change it to "fail closed" by returning a
failed/skipped result (or rethrowing) when
deps.store.getWorkflowRunStatus(workflowRun.id) throws: in the pre-execution
check that calls getWorkflowRunStatus (and the analogous block referenced at the
later spot and inside executeScriptNode), replace the silent catch with logic
that either throws a clear error or returns { state: 'completed'|'failed',
output: `Bash node '${node.id}' skipped: workflow status check failed` } so that
no subprocess (bash/bun/uv) is spawned when the status probe fails. Ensure you
update both the existing try/catch around getWorkflowRunStatus and the similar
status-check inside executeScriptNode to use the same fail-closed behavior.
- Around line 2922-2939: When you detect a non-running raceResult and set
effectiveStatus (the branch starting at raceResult check/use of
effectiveStatus), capture/latch that observed stop status into a local variable
on the execution context (e.g., latchedStatus) and propagate that into any later
calls or checks (including skipIfStatusChanged() logic and any subsequent
finalization path that might call failWorkflowRun() or completeWorkflowRun()) so
that the executor never re-reads the store and flips back to running; update
places around layerIdx/layers/nodeOutputs handling (and the similar block around
lines 3017-3025) to consult the latchedStatus instead of re-querying the store,
and refuse to autonomously finalize the run if latchedStatus is non-running.

---

Nitpick comments:
In `@packages/workflows/src/dag-executor.test.ts`:
- Around line 1275-1276: The inline object type "{ event_type: string }" used in
the mock call mapping should be extracted to a named interface to follow repo TS
rules; define an interface (e.g., WorkflowEvent) and replace all occurrences of
the inline shape in this test expression and the Mock typing so the code reads
like "store.createWorkflowEvent as Mock<(event: WorkflowEvent) =>
Promise<void>>" and the mapping uses "call: [WorkflowEvent]" while keeping the
existing references to store.createWorkflowEvent and event_type intact.

🪄 Autofix (Beta)

Fix all unresolved CodeRabbit comments on this PR:

• Push a commit to this branch (recommended)
• Create a new PR with the fixes

---

ℹ️ Review info

⚙️ Run configuration

Configuration used: defaults

Review profile: CHILL

Plan: Pro

Run ID: a0d5414c-2b16-470a-87a5-a0374458f0b6

📥 Commits

Reviewing files that changed from the base of the PR and between 26973b1 and 951ce5b.

📒 Files selected for processing (2)

• packages/workflows/src/dag-executor.test.ts
• packages/workflows/src/dag-executor.ts

[coderabbitai]

⚠️ Potential issue | 🟠 Major

Fail closed when the workflow-status probe errors.

Line 1245 and Line 1426 still proceed to spawn subprocess work after getWorkflowRunStatus() fails. That reintroduces the cancellation gap during store outages: a cancelled/paused/deleted run can still launch bash/bun/uv. Return a failed/skipped result or rethrow here instead of continuing.

Proposed fix

   } catch (err) {
     getLog().error(
       { err: err as Error, workflowRunId: workflowRun.id, nodeId: node.id },
       'bash_node.status_check_failed'
     );
-    // Non-fatal — proceed if status check fails
+    return {
+      state: 'failed',
+      output: '',
+      error: `Bash node '${node.id}' could not verify workflow status before execution`,
+    };
   }

Apply the same shape in executeScriptNode(...).

As per coding guidelines: "Prefer throwing early with a clear error for unsupported or unsafe states; never silently swallow errors (Fail Fast + Explicit Errors)".

Also applies to: 1407-1427

🤖 Prompt for AI Agents

Verify each finding against the current code and only fix it if needed.

In `@packages/workflows/src/dag-executor.ts` around lines 1226 - 1246, The
status-probe catch currently swallows errors and allows execution to proceed;
change it to "fail closed" by returning a failed/skipped result (or rethrowing)
when deps.store.getWorkflowRunStatus(workflowRun.id) throws: in the
pre-execution check that calls getWorkflowRunStatus (and the analogous block
referenced at the later spot and inside executeScriptNode), replace the silent
catch with logic that either throws a clear error or returns { state:
'completed'|'failed', output: `Bash node '${node.id}' skipped: workflow status
check failed` } so that no subprocess (bash/bun/uv) is spawned when the status
probe fails. Ensure you update both the existing try/catch around
getWorkflowRunStatus and the similar status-check inside executeScriptNode to
use the same fail-closed behavior.

[coderabbitai]

⚠️ Potential issue | 🔴 Critical

Latch the observed stop status before finalization.

Once Line 2923 has observed a non-running state and broken the layer, this execution must never finalize the run. Right now skipIfStatusChanged() re-reads the store, so a fast approval/resume can flip the status back to running and let this executor call failWorkflowRun()/completeWorkflowRun() using a partial nodeOutputs snapshot.

Proposed fix

+  let observedStopStatus: string | null = null;
+
   for (let layerIdx = 0; layerIdx < layers.length; layerIdx++) {
     // ...
     if (!Array.isArray(raceResult)) {
-      const effectiveStatus = raceResult;
+      observedStopStatus = raceResult;
+      const effectiveStatus = observedStopStatus;
       getLog().info(
         {
           workflowRunId: workflowRun.id,
@@
   async function skipIfStatusChanged(logEvent: string): Promise<boolean> {
-    const status = await deps.store.getWorkflowRunStatus(workflowRun.id);
+    const status = observedStopStatus ?? (await deps.store.getWorkflowRunStatus(workflowRun.id));
     if (status === 'running') return false;
     getLog().info({ workflowRunId: workflowRun.id, status: status ?? 'deleted' }, logEvent);
     if (status !== 'paused') {
       getWorkflowEventEmitter().unregisterRun(workflowRun.id);
     }

Based on learnings: "When a process cannot reliably distinguish 'actively running elsewhere' from 'orphaned by a crash', it must not autonomously mark work as failed/cancelled/abandoned based on a timer or staleness guess; instead surface the ambiguous state and provide a one-click action".

Also applies to: 3017-3025

🤖 Prompt for AI Agents

Verify each finding against the current code and only fix it if needed.

In `@packages/workflows/src/dag-executor.ts` around lines 2922 - 2939, When you
detect a non-running raceResult and set effectiveStatus (the branch starting at
raceResult check/use of effectiveStatus), capture/latch that observed stop
status into a local variable on the execution context (e.g., latchedStatus) and
propagate that into any later calls or checks (including skipIfStatusChanged()
logic and any subsequent finalization path that might call failWorkflowRun() or
completeWorkflowRun()) so that the executor never re-reads the store and flips
back to running; update places around layerIdx/layers/nodeOutputs handling (and
the similar block around lines 3017-3025) to consult the latchedStatus instead
of re-querying the store, and refuse to autonomously finalize the run if
latchedStatus is non-running.

[shaun0927]

Pushed an update — picks up the items CR flagged on the previous round:

• dag-executor.ts bash + script pre-exec status probe: now fail-closed. If getWorkflowRunStatus itself throws, the node returns { state: 'completed', output: "... skipped: workflow status probe failed" } instead of swallowing the error and proceeding to spawn a subprocess we can't tear down on cancel. Same change applied symmetrically to executeBashNode and executeScriptNode.
• dag-executor.ts latched stop status: introduced a latchedStopStatus local in the layer-loop scope. The mid-layer cancel watcher and the between-layer status check both write to it when they see a non-running status. skipIfStatusChanged now consults the latch before re-querying the store, so a concurrent resume / store flake can't race the executor into completing a run that the loop has already decided to abort.
• dag-executor.test.ts event-shape mock: replaced the inline { event_type: string } with a small named EventTypeOnly interface to match the repo TS rule.

Local: bun run type-check clean, lint clean, full @archon/workflows test suite 7/7 batches pass.

[chatgpt-codex-connector]

💡 Codex Review

Here are some automated review suggestions for this pull request.

Reviewed commit: c5b539d894

ℹ️ About Codex in GitHub

Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you

• Open a pull request for review
• Mark a draft as ready
• Comment "@codex review".

If Codex has suggestions, it will comment; otherwise it will react with 👍.

Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".

[chatgpt-codex-connector]

Fail node instead of completing on status probe error

This catch path marks the bash node as completed even though execution never started, so a transient getWorkflowRunStatus failure can silently turn skipped work into success; downstream nodes may consume the synthetic output and the workflow can be finalized as successful with missing execution. The same pattern exists in executeScriptNode, so status-probe errors should not be recorded as successful completion.

Useful? React with 👍 / 👎.

[chatgpt-codex-connector]

Wait for layer tasks before breaking on mid-layer stop

Breaking here exits the layer without awaiting the in-flight Promise.allSettled(...), so nodes in this layer keep running after executeDagWorkflow returns. In approval flows, the API auto-resume path dispatches a new run immediately, and resume seeding only includes node outputs already persisted as node_completed, so unfinished nodes from the old executor can be re-executed concurrently and duplicate side effects.

Useful? React with 👍 / 👎.

[shaun0927]

Pushed an update — picks up Codex's two P1 follow-ups:

• Status-probe error now fails the node, not completes it. Both executeBashNode and executeScriptNode previously returned state: 'completed' on a getWorkflowRunStatus exception, which would silently turn skipped work into a synthetic success that downstream nodes could consume. Now they return state: 'failed' with an explicit error of <node> skipped: workflow status probe failed (<probeErr.message>) so the workflow's failure aggregation surfaces the real cause.
• Drain in-flight layer tasks before breaking on mid-layer stop. The previous code did Promise.race([Promise.allSettled(...), cancelWatcher]) and broke as soon as cancelWatcher won — but Promise.allSettled keeps running its inner promises regardless of who wins the race. That meant nodes from the cancelled layer kept executing after executeDagWorkflow returned, so a follow-up resume could re-dispatch the same nodes concurrently (their node_completed events hadn't been written yet). The allSettled is now held in layerSettledPromise; on a stop, we await it before break and persist the drained outputs to nodeOutputs so the run-id's state is consistent before the executor exits. Also adjusted the user-facing message accordingly.

Local: bun run type-check clean, bun run lint clean, @archon/workflows test 198/198 pass.

[chatgpt-codex-connector]

💡 Codex Review

Here are some automated review suggestions for this pull request.

Reviewed commit: 39297758a8

ℹ️ About Codex in GitHub

Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you

• Open a pull request for review
• Mark a draft as ready
• Comment "@codex review".

If Codex has suggestions, it will comment; otherwise it will react with 👍.

Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".

[chatgpt-codex-connector]

Emit node_failed on bash status-probe failure

In executeBashNode, the pre-execution status-probe error path returns a failed NodeOutput immediately but never persists/emits a node_failed event. When getWorkflowRunStatus transiently fails, the workflow can end as failed while step-level telemetry is missing, so consumers that derive DAG state from node_* events cannot attribute the failure to this node. The same early-return pattern exists in executeScriptNode, so both probe-failure paths should emit/persist node failure before returning.

Useful? React with 👍 / 👎.

[shaun0927]

Pushed an update — picks up Codex's latest P2:

• Status-probe error path now emits node_failed before returning. Both executeBashNode and executeScriptNode now persist a createWorkflowEvent({ event_type: 'node_failed', step_name: node.id, data: { error, type, reason: 'status_probe_failed' } }) and emit a matching event on the in-memory event emitter before the early return. Consumers that derive DAG state from node_started → node_completed/failed transitions can now attribute the workflow failure to the right node instead of seeing it disappear.

Local: bun run type-check clean, lint clean, dag-executor.test.ts 198/198 pass.

[chatgpt-codex-connector]

💡 Codex Review

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Reviewed commit: 4e2ce7ef41

ℹ️ About Codex in GitHub

Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you

• Open a pull request for review
• Mark a draft as ready
• Comment "@codex review".

If Codex has suggestions, it will comment; otherwise it will react with 👍.

Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".

[chatgpt-codex-connector]

Return skipped state when paused before node execution

Fresh evidence in this commit: the pre-exec guard now returns state: 'completed' when status is non-running (same pattern exists in both bash and script handlers). In a parallel layer where an approval node pauses the run, sibling bash/script nodes can be marked successful with synthetic "skipped" output; if the run is resumed to running before the 10s layer watcher or between-layer probe observes the stop, downstream all_success dependencies may run against fake output and the real subprocess work is never executed in this pass.

Useful? React with 👍 / 👎.

[chatgpt-codex-connector]

Recheck live status before unregistering a latched stop

Using latchedStopStatus as authoritative here can unregister events for an active resumed run: approval transitions paused runs through failed, and if an older executor latches that state mid-layer while a newer resume invocation has already set the same run back to running, this branch still calls unregisterRun. Since routing is keyed by runId, removing that mapping can suppress subsequent workflow/node events from the resumed execution for conversation subscribers.

Useful? React with 👍 / 👎.

[shaun0927]

Pushed an update — picks up Codex's two latest findings:

• Pre-exec stop now returns state: 'skipped' instead of 'completed' for both bash and script nodes. The previous wording made a sibling-paused approval flow leak synthetic "completed" outputs to downstream all_success deps. skipped falls through checkTriggerRule correctly, so resumed runs pick the work back up cleanly.
• skipIfStatusChanged re-queries live status before unregistering the run from the event emitter. The latched stop is still authoritative for the skip-finalization decision, but unregistering events is gated on a fresh getWorkflowRunStatus — if a newer resume invocation already flipped the run back to running, we keep the SSE/event subscription alive for the resumed execution and emit a dag.skip_unregister_run_resumed info line so the race is observable.

Local: bun run type-check clean, lint clean, dag-executor.test.ts 198/198 pass.

[chatgpt-codex-connector]

💡 Codex Review

Here are some automated review suggestions for this pull request.

Reviewed commit: d2a2d5c594

ℹ️ About Codex in GitHub

Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you

• Open a pull request for review
• Mark a draft as ready
• Comment "@codex review".

If Codex has suggestions, it will comment; otherwise it will react with 👍.

Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".

[chatgpt-codex-connector]

Do not unregister run mapping on status probe errors

The resumed-run safeguard is bypassed when the live status recheck fails: .catch(() => undefined) followed by liveStatus !== 'running' still calls unregisterRun. In a resume race, a transient DB error here can remove the active run’s conversation mapping and suppress subsequent node_*/workflow_* events for subscribers, which is exactly the race this block is trying to prevent.

Useful? React with 👍 / 👎.

[chatgpt-codex-connector]

Process rejected tasks when draining a stopped layer

When the cancel watcher wins, the drain path only records fulfilled entries and drops rejected ones. A node task can still reject (for example, safeSendMessage throws on FATAL platform errors), and unlike the normal layer-processing path those rejections are not converted into failures. That leaves missing entries in nodeOutputs, so a later resume can treat those nodes as never-run and re-dispatch work that already partially executed.

Useful? React with 👍 / 👎.