[rafaeelaudibert]

Problem

• Other products cannot react to a finished task turn without the tasks product importing them.
• They also have no facade read for a conversation's full history, and no safe way to write their own key into the shared task state.
• Layer 2 of 9 in the stack that replaces feat(growth): suggest a scout or notebook after a PostHog AI turn #101991. The turn suggestion backend in layer 5 uses all three.

Changes

Nothing is user-visible. The riskiest part is the lock change in Task.mutate_state_atomic; the rest adds new reads.

• Turn-completed signal: the proxy callback, the event ingest and the sandbox relay all call one dispatch_turn_completed. It sends a task_run_turn_completed Django signal, then the push notification.
• Push failure: a failed push notification no longer stops the signal. The interactive-mode checks moved from the push dispatcher into dispatch_turn_completed.
• History read: read_task_run_history returns every frame across the run's resume chain. It merges the logs with live stream entries the logs do not cover yet.
• Size cap: the history read returns None before any download when the logs are over max_bytes.
• Trimmed streams: an id-less stream stands in for the run's log only below the 5,000-entry cap, because a stream at the cap may have lost its head.
• Duplicate frames: a persisted server notification sits in both stores without an id. The merge keeps one copy.
• State helpers: read_task_state_entry and update_task_state_entry read and merge one key of Task.state.
• Lock: Task.mutate_state_atomic holds the row lock for the merge and hands the mutator a deep copy, so a nested edit is saved. It uses FOR NO KEY UPDATE, so it does not wait on the KEY SHARE lock that every task run write takes on the task row.
• Existing writers: the Slack PR and PR-ready email markers now go through mutate_state_atomic, with the same behavior.
• Server notifications: publish_task_run_stream_notification publishes through TaskRun, so the frame gets presence gating and the ACP envelope. It returns whether the live stream and the log each received the frame.

How did you test this code?

• test_turn_completed.py catches a regression where a failed push notification swallows the signal, or where a non-interactive run fires it.
• test_facade_stream_notifications.py catches a publish that skips the log or the live stream, a duplicated server notification, and a trimmed stream that replaces the log.
• test_models.py catches a nested in-place state edit that is never saved.
• One test in products/tasks/backend/tests/test_api.py also fails on master, so it is not caused by this layer.
• The signals (2/2), field-notes product shard also fails on master since feat(signals): skip scout suggestion scans on low-activity projects #104535, with TeamScopeError in test_scout_suggestions setup. This layer does not touch Signals.

Release status

• No feature flag controls this change
• This change is behind a feature flag and is not available to users
• This change makes a previously flagged feature available to everyone

Automatic notifications

• Publish to changelog?

Docs update

None.

🤖 Agent context

Autonomy: Human-driven (agent-assisted)

Agent: Claude Code, Claude Fable 5.1 wrote the original #101991. Claude Opus 5.5 split it into this stack and fixed the review findings.

• Skills invoked: /stacking-prs, /writing-dataclasses, /writing-tests, /writing-code-comments, /code-review, /writing-pr-descriptions.
• CodeRabbit CLI pass skipped by the user's standing choice.
• In feat(growth): suggest a scout or notebook after a PostHog AI turn #101991 the tasks product imported PostHog AI directly. The signal replaces that import.

🤖 Generated with Claude Code

[github-actions]

🤖 CI report

⚠️ Trunk lane — backend Python lane

This PR is assigned to the backend Python lane. It runs backend Python tests and may merge in parallel with PRs in other lanes.

✅ Duplication (Python) — clean

New Python code duplication introduced by this branch. Fails at 70+ tokens in app code, or 150+ tokens when both copies live in test files. Advisory while the gate proves itself: extract a shared helper instead of copying.

✅ Duplication (TypeScript) — clean

New TypeScript code duplication introduced by this branch. Fails at 70+ tokens in app code, or 150+ tokens when both copies live in test files. Advisory while the gate proves itself: extract a shared helper instead of copying.

⚠️ Comment density — 4% of added code lines are comments (19 of 529)

This section warns when comments are more than 3% of the code lines a PR adds, and alerts above 6%. Before agent-assisted PRs, the typical share was about 2%. Only full-line comments count. Docstrings, generated files, snapshots, migrations, and workflow files are left out.

Comments that restate the code, record how the change came about, or narrate the next line add noise for the next reader. Keep the comments that explain a reason the code cannot show, and remove the rest. See .agents/skills/writing-code-comments/SKILL.md for the house rules.

Files with the most added comment lines:

File	Comment lines	Added lines
products/tasks/backend/tests/test_facade_stream_notifications.py	8	174
products/tasks/backend/facade/api.py	5	202
products/tasks/backend/facade/task_run_signals.py	2	8
products/tasks/backend/models.py	2	48
products/tasks/backend/turn_completed.py	2	17

This check does not block merging. It updates on every push and clears when the share drops.

⚠️ Backend coverage — 91.0% of changed backend lines covered — 25 uncovered

🧪 Backend test coverage

Patch coverage — changed backend lines (products + core): ██████████████████░░ 91.0% (274 / 299)

File	Patch	Uncovered changed lines
products/tasks/backend/facade/task_run_signals.py	75.0%	25
products/tasks/backend/facade/api.py	83.5%	709–710, 725, 727–732, 734–738, 4542–4544, 4549, 4552–4553, 4593, 4640
products/tasks/backend/models.py	92.6%	981, 985

🤖 Agents: add a test covering the lines above, or note why under "How did you test this code?". Machine-readable gap list: the patch-coverage artifact on this run (gh run download 36153200179 -n patch-coverage), or the coverage-data block at the end of this comment.

Per-product line coverage (touched products)

Product	Coverage	Lines
platform_features	██░░░░░░░░░░░░░░░░░░ 12.1%	7 / 58
warehouse_sources_queue	██████░░░░░░░░░░░░░░ 29.1%	92 / 316
demo	████████████░░░░░░░░ 57.8%	1,545 / 2,673
data_tools	████████████░░░░░░░░ 61.2%	90 / 147
aeo	██████████████░░░░░░ 70.5%	467 / 662
ai_gateway	███████████████░░░░░ 75.0%	9 / 12
batch_exports	████████████████░░░░ 81.2%	21,449 / 26,424
apm	█████████████████░░░ 84.1%	1,306 / 1,553
ml_inference	█████████████████░░░ 86.7%	451 / 520
cdp	██████████████████░░ 88.2%	4,548 / 5,155
mcp_analytics	██████████████████░░ 88.6%	4,704 / 5,308
signals	██████████████████░░ 88.7%	52,399 / 59,082
product_tours	██████████████████░░ 89.3%	1,331 / 1,491
dashboards	██████████████████░░ 89.8%	7,234 / 8,056
data_warehouse	██████████████████░░ 89.9%	13,738 / 15,285
cohorts	██████████████████░░ 90.2%	8,238 / 9,138
notebooks	██████████████████░░ 90.2%	15,287 / 16,945
streamlit_apps	██████████████████░░ 90.7%	2,625 / 2,895
managed_warehouse	██████████████████░░ 90.9%	10,215 / 11,234
data_modeling	██████████████████░░ 91.4%	10,491 / 11,483
business_knowledge	██████████████████░░ 91.6%	6,899 / 7,528
engineering_analytics	██████████████████░░ 91.7%	11,002 / 11,999
exports	██████████████████░░ 91.8%	9,685 / 10,555
tasks	██████████████████░░ 92.1%	74,688 / 81,124
ai_training	██████████████████░░ 92.2%	356 / 386
conversations	███████████████████░ 92.5%	28,705 / 31,025
early_access_features	███████████████████░ 92.6%	1,341 / 1,448
managed_migrations	███████████████████░ 92.7%	1,581 / 1,705
visual_review	███████████████████░ 92.8%	9,244 / 9,966
canvas	███████████████████░ 92.8%	6,877 / 7,409
approvals	███████████████████░ 93.0%	3,919 / 4,214
mcp_registry	███████████████████░ 93.1%	1,670 / 1,794
error_tracking	███████████████████░ 93.1%	15,708 / 16,874
notifications	███████████████████░ 93.2%	1,145 / 1,229
slack_app	███████████████████░ 93.2%	13,677 / 14,674
surveys	███████████████████░ 93.3%	6,571 / 7,040
stamphog	███████████████████░ 93.4%	7,716 / 8,262
context_layer	███████████████████░ 93.8%	3,373 / 3,595
web_analytics	███████████████████░ 93.9%	21,653 / 23,051
ai_observability	███████████████████░ 94.0%	20,588 / 21,892
alerts	███████████████████░ 94.1%	8,554 / 9,094
billing_alerts	███████████████████░ 94.1%	2,094 / 2,226
mcp_store	███████████████████░ 94.4%	8,940 / 9,472
wizard	███████████████████░ 94.4%	5,791 / 6,134
reminders	███████████████████░ 94.8%	760 / 802
workflows	███████████████████░ 94.8%	13,438 / 14,170
review_hog	███████████████████░ 94.9%	11,490 / 12,109
annotations	███████████████████░ 95.1%	817 / 859
customer_analytics	███████████████████░ 95.1%	24,669 / 25,932
endpoints	███████████████████░ 95.1%	9,211 / 9,681
legal_documents	███████████████████░ 95.2%	2,311 / 2,427
marketing_analytics	███████████████████░ 95.3%	19,047 / 19,991
logs	███████████████████░ 95.4%	15,235 / 15,967
tracing	███████████████████░ 95.4%	3,483 / 3,650
growth	███████████████████░ 95.4%	9,812 / 10,282
actions	███████████████████░ 95.5%	756 / 792
posthog_ai	███████████████████░ 95.5%	2,438 / 2,553
messaging	███████████████████░ 95.9%	3,766 / 3,927
skills	███████████████████░ 95.9%	6,649 / 6,932
replay_vision	███████████████████░ 96.0%	26,750 / 27,878
autoresearch	███████████████████░ 96.0%	7,716 / 8,037
product_analytics	███████████████████░ 96.2%	28,495 / 29,617
revenue_analytics	███████████████████░ 96.4%	1,876 / 1,946
access_control	███████████████████░ 96.4%	7,122 / 7,386
user_interviews	███████████████████░ 96.5%	2,859 / 2,963
feature_flags	███████████████████░ 96.5%	25,146 / 26,046
experiments	███████████████████░ 96.6%	33,963 / 35,146
warehouse_sources	███████████████████░ 97.2%	443,964 / 456,678
data_quality	████████████████████ 97.7%	7,592 / 7,774
links	████████████████████ 97.9%	234 / 239
security	████████████████████ 98.1%	1,258 / 1,283
metrics	████████████████████ 98.1%	4,085 / 4,166
analytics_platform	████████████████████ 98.3%	2,778 / 2,827
data_catalog	████████████████████ 98.3%	3,932 / 3,999
pulse	████████████████████ 98.5%	2,043 / 2,075
live_debugger	████████████████████ 99.2%	626 / 631
field_notes	████████████████████ 99.4%	172 / 173

Report-only. Patch coverage = changed backend lines covered vs origin/master. Sorted lowest first.
Known gaps: lines covered only by Temporal tests show as uncovered; core line numbers may drift if master changed the same file.

[greptile-apps]

[Medium risk] Refactors turn-completion dispatch and adds state mutation helpers.

The PR should not merge until the missing-history and duplicate-notification paths are fixed.

_{Reviews (1) · Last reviewed commit: "refactor(tasks): turn-completed signal, ..."}

[stamphog]

Not approved — this change needs a human reviewer.

Re-add the stamphog label to request another review once you have addressed this.

This is risky-territory (shared task-state row locking, event ingestion, and a new cross-product history read), the author is not on either owning team, and the only reviewer signal is an agent reviewer's unresolved P1 findings — plausible data-loss (trimmed stream can wrongly stand in for the run's own log) and duplicate-notification bugs I confirmed by reading the diff — plus a discussion comment explicitly saying the PR should not merge until they're fixed.

• 👍 on the PR from greptile-apps[bot].
• Unresolved P1: read_task_run_history can misdetect a trimmed/capped Redis stream as the whole run and skip reading the current run's S3 log, silently dropping earlier conversation frames.
• Unresolved P1: publish_task_run_stream_notification writes the same persisted notification to the live stream and the log without a shared event_id, so read_task_run_history's dedup can't recognize them and returns it twice.
• Unresolved P2: update_task_state_entry compares the callback's return value to the original entry by equality; a callback that mutates a nested dict/list in place will pass the equality check and the update will be silently dropped.

Gate mechanics and policy version

Gate		Result
prerequisites	✓	all clear
deny-list	✓	no deny categories matched
size	✓	331L, 10F substantive, 536L/12F incl. docs/generated/snapshots — within ceiling
tier	✓	T1-agent / T1d-complex (536L, 12F, single-area, chore)
stamphog 2.1.0		.stamphog/policy.yml @ 0a9b57d · reviewed head 0a9b57d

[trunk-io]

   

Failed Test	Failure Summary	Logs
test_query_counts_stable_when_listing_resources_including_access_control_info	The test failed because it executed one more database query than expected, indicating a potential change in query count or inefficiency.	Logs ↗︎
test_query_runner_standard_flow	The test failed because the calculated probability value did not match the expected value within the specified precision.	Logs ↗︎

View Full Report ↗︎ ⋅ Docs

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---

📝 Walkthrough

Walkthrough

The changes add row-locked task-state updates and facade helpers for individual state entries. They add APIs to parse task-run logs, read and merge live stream history, and publish notifications with separate live and persisted delivery results. Turn-completion handling now uses a shared dispatcher that sends a signal and push notification for eligible runs. Existing call sites use that dispatcher.

Priority: ⬇️ Low

Merge Risk: 🔵 Low · up to feb1e

The new history read can return duplicate frames in a mixed-write case and do unnecessary work for oversized histories. These bounded risks warrant owner awareness or follow-up, but do not establish a broad failure that blocks merging.

Security Architecture Review

Security architecture risk: 🔵 Low · up to feb1e

The new shared interfaces have task and team scoping, and the state update uses a row lock. No introduced security issue was established, but notification and recovery behavior merits attention as other products adopt the interfaces.

Retained concerns
No architecture-level concerns identified.

Security review details

Security Blast Radius

• inferred — The new read and notification operations are bounded to a selected task and team in the facade; the completion signal instead distributes its TaskRun to registered in-process receivers. No cross-tenant caller or receiver was established by the inspected evidence.

Trust Boundaries and Controls

• observed — Generic state updates require a team identifier for the locked task lookup; run reads and notification writes require a matching run, task, and team. These checks do not replace the caller's user-level task-access check.

Resilience and Maintainability Implications

• observed — Receiver exceptions do not stop completion-signal dispatch or the subsequent push attempt. The signal call itself shows no durable replay or event identifier for consumers recovering from missed or repeated delivery.

Hardening Proposals

• proposed — Before a receiver uses turn completion to change durable or security-sensitive state, define its authorization, idempotency, and missed-event recovery contract.

🚥 Pre-merge checks | ✅ 1

✅ Passed checks (1 passed)

Check name	Status	Explanation
Description check	✅ Passed	The description covers the problem, changes, testing, release status, documentation status, and agent context. It identifies known master failures and the affected regression tests. The agent definiti…

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[coderabbitai]

Actionable comments posted: 1

Note

Quiet mode is enabled, so only the most important comments were posted inline. Other review comments are grouped below.

🟡 Other comments (3)

products/tasks/backend/models.py-919-922 (1)

919-922: 🗄️ Data Integrity & Integration | 🟡 Minor | ⚡ Quick win

A shallow copy drops writes that change a nested value in place.

state = dict(current) copies only the top level of the dict. Nested dicts and lists stay shared with locked_task.state. If a mutator changes a nested value in place, the same change appears in current. Then state != current is False, and the save is skipped with no error.

update_task_state_entry in products/tasks/backend/facade/api.py exposes this path to other products:

• The callback receives state.get(key), which is the shared nested object.
• A caller that does current["x"] = 1; return current, result changes current in place.
• value != current is then False, so the check at lines 731-732 skips the write.
• mutate_state_atomic also skips the save, so the new value is lost.

Deep-copy the state before you call the mutator.

🐛 Proposed fix

-            current = locked_task.state or {}
-            state = dict(current)
+            current = locked_task.state or {}
+            state = copy.deepcopy(current)
             mutator(state)

Add import copy at the top of the module.

products/tasks/backend/turn_completed.py-17-17 (1)

17-17: 🗄️ Data Integrity & Integration | 🟡 Minor | ⚡ Quick win

Make turn-completed signal dispatch idempotent.

dispatch_turn_completed() sends task_run_turn_completed on every eligible call. The proxy callback, stream ingest, and sandbox relay each call this dispatcher, and retries can repeat a report. No per-turn guard prevents send_robust() from invoking receivers more than once. Add a stable turn identifier and deduplicate the dispatch, or make each receiver idempotent.

products/tasks/backend/tests/test_facade_stream_notifications.py-113-124 (1)

113-124: 🗄️ Data Integrity & Integration | 🟡 Minor | ⚡ Quick win

Stamp persisted server notifications with an event ID.

When persist=True, publish_task_run_stream_notification writes the same event to the live stream and the log. build_notification_event does not assign event_id. If the stream has no user prompt, read_task_run_history reads the current log and appends the live event, but TaskRunStreamBacklogIndex.covers returns False for events without an ID. The notification can therefore appear twice.

Assign one unique event_id when building the event, then add an overlap test that stores the same notification in both inputs and expects one history entry.

🧹 Nitpick comments (1)

products/tasks/backend/models.py (1)

3174-3181: 📐 Maintainability & Code Quality | 🔵 Trivial | ⚡ Quick win

Reuse the shared ACP envelope builder where timestamp semantics allow.

emit_console_event, build_progress_event, and emit_sandbox_output duplicate the envelope returned by build_notification_event. Route these methods through the builder. Preserve the shared timestamp in emit_conversation_cleared, either by extending the builder to accept a timestamp or by keeping that two-event assembly local.

This is a maintainability refactor, not a runtime defect.

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• products/tasks/backend/logic/stream/event_ingest.py
• products/tasks/backend/models.py
• products/tasks/backend/presentation/views/api.py
• products/tasks/backend/push_dispatcher.py
• products/tasks/backend/temporal/process_task/activities/relay_sandbox_events.py
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[trunk-io]

Stacked PR 106430 was cancelled: the stack changed after it was queued.

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[coderabbitai]

🚀 Performance & Scalability | 🟠 Major | ⚡ Quick win

Check max_bytes before reading the Redis stream.

When the logs exceed max_bytes, this call still fetches and parses the live stream before Line 4652 returns None. A live stream can hold approximately 5,000 entries, and ingestion permits event lines up to 1 MB. Move the log-size check ahead of _read_run_stream_entries so rejected histories do not incur that transfer or allocation. (raw.githubusercontent.com)

[stamphog]

Not approved — escalated to a human reviewer.

Re-add the stamphog label to request another review once you have addressed this.

This is a cross-team, non-owning-team-authored change to shared task state locking and the event-ingestion/turn-completion signal path (both explicit risky territory), and the one currently-unresolved reviewer comment (fetching the live Redis stream before checking the log size cap) plus an earlier agent reviewer's "should not merge" hold mean there is no clean independent assurance on the current head.

• 👍 on the PR from greptile-apps[bot].
• Unresolved CodeRabbit comment on facade/api.py: read_task_run_history still fetches/parses the Redis stream before checking the log max_bytes cap, so a rejected (over-size) history still pays the stream read cost.
• Greptile's earlier review (on an early commit in the stack) held the PR at 'should not merge' pending missing-history/duplicate-notification fixes; later commits appear to add dedup + extensive tests for that logic, but this isn't confirmed by a current, clean re-review.
• Author is not on either owning team (team-posthog-desktop, team-self-driving) and no STRONG-familiarity signal was reported, so there's no owning-team or familiarity-based assurance to fall back on for this risky-territory change.

Gate mechanics and policy version

Gate		Result
prerequisites	✓	all clear
deny-list	✓	no deny categories matched
size	✓	407L, 10F substantive, 694L/13F incl. docs/generated/snapshots — within ceiling
tier	✓	T1-agent / T1d-complex (694L, 13F, single-area, chore)
stamphog 2.1.0		.stamphog/policy.yml @ feb1e38 · reviewed head feb1e38

[trunk-io]

This pull request was merged into master as part of stacked PR 106735.

[deployment-status-posthog]

Deploy status

Environment	Status	Deployed At	Workflow
dev	✅ Deployed	2026-09-25 18:17 UTC	Run
prod-us	✅ Deployed	2026-09-25 18:30 UTC	Run
prod-eu	✅ Deployed	2026-09-25 18:32 UTC	Run