PaperClipAI

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Author	SHA1	Message	Date
DottaandPaperclip	a05b828bcd	Reduce run polling and workspace inspection amplification (#13174 ) ## Thinking Path > - Paperclip manages agent work and shows run progress to operators. > - Run lists, live events, transcripts, and workspace details must remain responsive as usage grows. > - Run-list redaction rereads the full context for every run. Hidden tabs can still trigger requests through live events and manual timers. > - Workspace detail reads repeat Git inspection even when concurrent callers request the same state. > - This pull request batches registry reads, pauses hidden-tab refreshes, and caches Git inspection for display. > - Cleanup keeps fresh Git checks, and redaction keeps company and run boundaries. ## Linked Issues What happened? Run-list responses perform one extra database read per run and parse full context JSON to obtain small secret registries. Hidden tabs continue transcript reads and event-triggered refetches. Workspace detail requests repeat Git scans. Expected behavior A run list reads registries once. Hidden tabs stop recurring run reads and reconcile when visible. Concurrent workspace detail reads share a short-lived Git result. Steps to reproduce 1. Open run lists and task transcripts in several tabs while agents run. 2. Hide some tabs and observe transcript and event-triggered requests. 3. Request a 200-run list and count redaction database queries. 4. Request the same workspace detail concurrently and count Git inspections. Related: #5255 adjusts polling cadence. This change addresses hidden-tab lifecycle, batched registry reads, and workspace inspection reuse. No duplicate with this scope was found. ## What Changed - Batch heartbeat and live-run redaction into one company-scoped registry query. Select only registry JSON for run and issue redaction. - Resolve duplicate secret values once per request. Preserve each run's registry and remove registry material from responses. - Suspend company event sockets and transcript reads while hidden. Refresh active queries and resume transcript offsets on return. - Prevent queued event invalidations and developer health polling from fetching in hidden tabs. Gate legacy run-log readers in both UI variants. - Exclude legacy plugin placeholder connections from remote health probes. Select only due connection IDs in SQL before the sweep limit. Preserve existing plugin records. - Cache concurrent Git display inspections for five seconds, with at most 256 entries. Leave close-readiness and cleanup checks uncached. - Add regression coverage and document the performance behavior. - Stabilize the existing Rust descendant-lineage fixture: allow a bounded 30 seconds for 300 durable notifications under concurrent test load, retaining every correctness assertion and adding timeout diagnostics. ## Verification - Regression coverage verifies one registry query for 200 runs, per-run isolation, request-local secret resolution, decryption failures, Git cache expiry/bounds, hidden-tab pause, and visibility recovery. - Real PostgreSQL redaction/run-route suites passed all 57 tests; workspace-service coverage passed. The health-sweep regression verifies plugin placeholders and chat connections remain untouched and do not consume the sweep limit. - Both legacy transcript viewers retain history and resume their byte offset after visibility changes. The related visibility/progress/chunk suites passed all 29 tests. Other focused UI suites and token gates passed. - Full `pnpm -r typecheck` and `pnpm build` passed. Affected-package typechecks/builds passed after review fixes. The concurrent Rust provider suite passed 84 tests (two ignored), and Rust formatting passed. - Full local `pnpm test:run` stopped after the general-server group: 10,538 passed, 65 skipped, four failed. Fresh chat-delivery and health-sweep reruns passed; building the debug runner fixture cleared the native-event test. One unchanged native-session recovery assertion still fails locally with a semantic-digest error instead of the expected settled-session message. The full local command is therefore not green. CI runs the later groups separately and skips the two native-session tests requiring a prebuilt runner binary (confirmed in its 37-test native-session suite). - All CI gates pass on final head `ee610e737`: typechecking, general and serialized tests, browser tests, runner verification, build, and canary dry run. One server shard passed on its single retry after exposure fixtures encountered port 42001 where they assumed 42000; that suite also passed locally (25 passed, three platform-specific skips). - Greptile reviewed the final head at 5/5 with no actionable findings. ## Risks - Workspace delivery display can lag local Git changes by five seconds. Destructive operations still inspect current state. - Hidden tabs do not receive company live-event notifications until visible. Active queries refresh on return. - This change preserves legacy plugin records and does not repair instance-specific workspace rows. There is no database migration. ## Model Used OpenAI Codex, GPT-6 family, with reasoning, repository tools, code execution, and browser inspection. The exact model identifier and context-window size are not exposed in this session. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked them above - [x] I have either (a) linked existing issues with `Fixes: #` / `Closes #` / `Refs #` OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip` URLs) - [x] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details - [x] I have run tests locally and they pass (targeted regressions; full-suite limitation documented above) - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: Paperclip <noreply@paperclip.ing>	2026-09-11 08:34:24 -05:00
DottaandClaude Opus 4.8	3e348b96b9	perf(ui): cut live-updates churn that inflates tab memory (#9624 ) ## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work > - Its web UI keeps live views (issue threads, run transcripts, dashboard) fresh via React Query polling plus a live-events websocket, coordinated across tabs with a `BroadcastChannel` layer > - Long-lived tabs viewing live agent runs grew to multi-GB memory footprints while their JS heap stayed ~60–200 MB — so the memory is off-heap (Blink/native + committed allocator arenas), not a classic JS leak > - Live profiling of a reproduced 2.7 GB / 66 MB tab showed 15–30% idle CPU, ~3 fetches/sec across overlapping poll loops, and ~8 `setInterval` create/clear cycles per second whose rate grew ~7× as the tab aged — relentless allocation churn that inflates committed memory the OS never reclaims, amplified across tabs by the cross-tab fan-out > - This pull request cuts that churn at its four largest sources (invalidation storm, per-instance 1 s timers, redundant polling, unbounded streamed-run set) > - The benefit is that idle tabs do far less periodic work, so their off-heap footprint stops ballooning over a long session ## Linked Issues or Issue Description No public GitHub issue exists; describing inline per CONTRIBUTING.md → "Link Issues or Describe Them In-PR", following the bug report template. What happened? Browser tabs viewing live agent runs grew to 8–16 GB memory footprint over a long session (multiple tabs open), while each tab's "live" JS heap stayed only ~150–250 MB. Every idle tab also burned 15–30% CPU. Tabs eventually approached the ~4 GB V8 heap ceiling / OS pressure and could crash. Expected behavior Tabs viewing live runs should hold a bounded footprint and do minimal work while idle, regardless of how long they stay open or how many tabs are open. Steps to reproduce Open several issue/run tabs that have agents actively streaming and leave them open for a while. Watch Chrome's Task Manager: Memory Footprint climbs into the GBs while "JavaScript Memory" stays small, and CPU stays high on idle tabs. Reproduced in ~90 minutes: a tab reached 2.7 GB footprint on a 66 MB JS heap, and the per-second timer-churn rate was ~7× higher on a 90-minute-old tab than a fresh one. Paperclip version or commit Branch `fix/live-updates-churn`, off `master`. Deployment mode Local dev (`pnpm dev`), web UI. Not adapter-specific — core UI live-updates plumbing (observed with `claude_local` / `codex_local` runs). ## What Changed - `ui/src/lib/query-invalidation-batcher.ts` (new) — `createInvalidationBatcher` throttles + de-dupes React Query invalidations into one flush per ~300 ms, and `createCoalescingQueryClient` wraps the client via a `Proxy` so only `invalidateQueries` is batched (optimistic `setQueryData` writes stay immediate). Wired into `LiveUpdatesProvider`, which previously invalidated synchronously on every websocket event. - `ui/src/hooks/useSecondTick.ts` (new) — one shared, ref-counted, page-wide 1 s ticker. `useLiveElapsed` in `IssueChatThread` now uses it instead of a per-instance `setInterval` that forced a full-thread re-render every second per live element. - `ui/src/components/transcript/useLiveRunTranscripts.ts` — when the realtime websocket is enabled, the recurring log poll backs off to a 30 s safety-net cadence instead of polling every 2 s on top of the live stream. Added a marker for the durable poll→push rearchitecture. - `ui/src/lib/issueChatTranscriptRuns.ts` — `resolveIssueChatTranscriptRuns` now caps the streamed run set (live/active runs always kept; most-recent linked runs fill up to 20) so a large run history can't open a live-transcript poll per historical run. - `ui/src/main.tsx` — explicit `gcTime` so cross-tab-published cache entries for unobserved resources are collected promptly. - Tests for the batcher, shared ticker, and run cap. ## Verification - `vitest`: new suites `query-invalidation-batcher.test.ts` (batcher collapses 20 invalidations → 1 flush; keeps distinct keys/variants; dispose cancels; proxy passes non-invalidate methods through), `useSecondTick.test.tsx` (single ref-counted timer, stops when idle), `issueChatTranscriptRuns.test.ts` (cap keeps newest + live). All pass. - Existing affected suites pass: `LiveUpdatesProvider` (23), `IssueChatThread` (), `useLiveRunTranscripts`, `AgentDetail.instructions` — 109 tests across affected files. - `tsc -b` clean. - Behavior confirmed by live profiling before the change (2.7 GB / 66 MB tab, ~8 interval churns/sec growing 7× with age). Runtime churn reduction should be re-measured against a rebuilt bundle with the same instrumentation. ## Risks Low-to-moderate; all changes reduce work rather than add features. - Invalidation batching delays live-driven refetches by up to ~300 ms. Optimistic `setQueryData` writes (e.g. the visible issue's new comment) remain immediate, so foreground updates still feel instant; only the safety-net refetch is throttled. Non-live invalidations (user actions, mutations) are unaffected — they use the real client. - Poll back-off relies on the websocket as the live source when realtime is enabled; a 30 s fallback poll still covers gaps/reconnects (both the transcript hook and `LiveUpdatesProvider` also auto-reconnect). - Run cap (20) means an issue with a very large run history streams live transcripts only for its live/active + 20 most-recent runs; older runs still open normally via their run pages. - Downstream test fallout (timing-sensitive tests around invalidation/polling) may need adjustment — flagged intentionally for follow-up. Durable follow-up (out of scope, marked in code): replace transcript/run polling with server push (SSE/websocket deltas) so idle tabs do no periodic work at all. ## Model Used - Provider: Anthropic, via the Claude Code CLI. - Model: Claude Opus 4.8 (`claude-opus-4-8`). - Reasoning mode: Extended thinking enabled. - Capabilities used: tool use (shell, file editing), sub-agent fan-out for codebase analysis, and the Chrome DevTools MCP to reproduce and profile the memory/CPU churn on a live instance. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work (a bug/perf fix, not planned core feature work) - [x] I have searched GitHub for duplicate or related PRs and linked them above (none found) - [x] I have either (a) linked existing issues with `Fixes: #` / `Closes #` / `Refs #` OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip` URLs) - [x] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details - [x] I have run tests locally and they pass - [x] I have added or updated tests where applicable - [x] I have considered and documented any risks above - [ ] I have updated relevant documentation to reflect my changes (N/A — no user-facing docs; rationale documented inline) - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge 🤖 Generated with [Claude Code](https://claude.com/claude-code) --------- Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>	2026-07-15 14:17:37 -05:00

Author

SHA1

Message

Date

DottaandPaperclip

a05b828bcd

Reduce run polling and workspace inspection amplification (#13174 )

## Thinking Path

> - Paperclip manages agent work and shows run progress to operators.
> - Run lists, live events, transcripts, and workspace details must
remain responsive as usage grows.
> - Run-list redaction rereads the full context for every run. Hidden
tabs can still trigger requests through live events and manual timers.
> - Workspace detail reads repeat Git inspection even when concurrent
callers request the same state.
> - This pull request batches registry reads, pauses hidden-tab
refreshes, and caches Git inspection for display.
> - Cleanup keeps fresh Git checks, and redaction keeps company and run
boundaries.

## Linked Issues

**What happened?**
Run-list responses perform one extra database read per run and parse
full context JSON to obtain small secret registries. Hidden tabs
continue transcript reads and event-triggered refetches. Workspace
detail requests repeat Git scans.

**Expected behavior**
A run list reads registries once. Hidden tabs stop recurring run reads
and reconcile when visible. Concurrent workspace detail reads share a
short-lived Git result.

**Steps to reproduce**
1. Open run lists and task transcripts in several tabs while agents run.
2. Hide some tabs and observe transcript and event-triggered requests.
3. Request a 200-run list and count redaction database queries.
4. Request the same workspace detail concurrently and count Git
inspections.

Related: #5255 adjusts polling cadence. This change addresses hidden-tab
lifecycle, batched registry reads, and workspace inspection reuse. No
duplicate with this scope was found.

## What Changed

- Batch heartbeat and live-run redaction into one company-scoped
registry query. Select only registry JSON for run and issue redaction.
- Resolve duplicate secret values once per request. Preserve each run's
registry and remove registry material from responses.
- Suspend company event sockets and transcript reads while hidden.
Refresh active queries and resume transcript offsets on return.
- Prevent queued event invalidations and developer health polling from
fetching in hidden tabs. Gate legacy run-log readers in both UI
variants.
- Exclude legacy plugin placeholder connections from remote health
probes. Select only due connection IDs in SQL before the sweep limit.
Preserve existing plugin records.
- Cache concurrent Git display inspections for five seconds, with at
most 256 entries. Leave close-readiness and cleanup checks uncached.
- Add regression coverage and document the performance behavior.
- Stabilize the existing Rust descendant-lineage fixture: allow a
bounded 30 seconds for 300 durable notifications under concurrent test
load, retaining every correctness assertion and adding timeout
diagnostics.

## Verification

- Regression coverage verifies one registry query for 200 runs, per-run
isolation, request-local secret resolution, decryption failures, Git
cache expiry/bounds, hidden-tab pause, and visibility recovery.
- Real PostgreSQL redaction/run-route suites passed all 57 tests;
workspace-service coverage passed. The health-sweep regression verifies
plugin placeholders and chat connections remain untouched and do not
consume the sweep limit.
- Both legacy transcript viewers retain history and resume their byte
offset after visibility changes. The related visibility/progress/chunk
suites passed all 29 tests. Other focused UI suites and token gates
passed.
- Full `pnpm -r typecheck` and `pnpm build` passed. Affected-package
typechecks/builds passed after review fixes. The concurrent Rust
provider suite passed 84 tests (two ignored), and Rust formatting
passed.
- Full local `pnpm test:run` stopped after the general-server group:
10,538 passed, 65 skipped, four failed. Fresh chat-delivery and
health-sweep reruns passed; building the debug runner fixture cleared
the native-event test. One unchanged native-session recovery assertion
still fails locally with a semantic-digest error instead of the expected
settled-session message. The full local command is therefore not green.
CI runs the later groups separately and skips the two native-session
tests requiring a prebuilt runner binary (confirmed in its 37-test
native-session suite).
- All CI gates pass on final head `ee610e737`: typechecking, general and
serialized tests, browser tests, runner verification, build, and canary
dry run. One server shard passed on its single retry after exposure
fixtures encountered port 42001 where they assumed 42000; that suite
also passed locally (25 passed, three platform-specific skips).
- Greptile reviewed the final head at 5/5 with no actionable findings.

## Risks

- Workspace delivery display can lag local Git changes by five seconds.
Destructive operations still inspect current state.
- Hidden tabs do not receive company live-event notifications until
visible. Active queries refresh on return.
- This change preserves legacy plugin records and does not repair
instance-specific workspace rows. There is no database migration.

## Model Used

OpenAI Codex, GPT-6 family, with reasoning, repository tools, code
execution, and browser inspection. The exact model identifier and
context-window size are not exposed in this session.

## Checklist

- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have searched GitHub for duplicate or related PRs and linked
them above
- [x] I have either (a) linked existing issues with `Fixes: #` / `Closes
#` / `Refs #` OR (b) described the issue in-PR following the relevant
issue template
- [x] I have not referenced internal/instance-local Paperclip issues or
links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip`
URLs)
- [x] My branch name describes the change (e.g. `docs/...`, `fix/...`)
and contains no internal Paperclip ticket id or instance-derived details
- [x] I have run tests locally and they pass (targeted regressions;
full-suite limitation documented above)
- [x] I have added or updated tests where applicable
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] All Paperclip CI gates are green
- [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups
- [x] I will address all Greptile and reviewer comments before
requesting merge

---------

Co-authored-by: Paperclip <noreply@paperclip.ing>

2026-09-11 08:34:24 -05:00

DottaandClaude Opus 4.8

3e348b96b9

perf(ui): cut live-updates churn that inflates tab memory (#9624 )

## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work
> - Its web UI keeps live views (issue threads, run transcripts,
dashboard) fresh via React Query polling plus a live-events websocket,
coordinated across tabs with a `BroadcastChannel` layer
> - Long-lived tabs viewing live agent runs grew to multi-GB memory
footprints while their JS heap stayed ~60–200 MB — so the memory is
off-heap (Blink/native + committed allocator arenas), not a classic JS
leak
> - Live profiling of a reproduced 2.7 GB / 66 MB tab showed 15–30% idle
CPU, ~3 fetches/sec across overlapping poll loops, and ~8 `setInterval`
create/clear cycles per second whose rate grew ~7× as the tab aged —
relentless allocation churn that inflates committed memory the OS never
reclaims, amplified across tabs by the cross-tab fan-out
> - This pull request cuts that churn at its four largest sources
(invalidation storm, per-instance 1 s timers, redundant polling,
unbounded streamed-run set)
> - The benefit is that idle tabs do far less periodic work, so their
off-heap footprint stops ballooning over a long session

## Linked Issues or Issue Description

No public GitHub issue exists; describing inline per CONTRIBUTING.md →
"Link Issues or Describe Them In-PR", following the bug report template.

**What happened?**

Browser tabs viewing live agent runs grew to 8–16 GB memory footprint
over a long session (multiple tabs open), while each tab's "live" JS
heap stayed only ~150–250 MB. Every idle tab also burned 15–30% CPU.
Tabs eventually approached the ~4 GB V8 heap ceiling / OS pressure and
could crash.

**Expected behavior**

Tabs viewing live runs should hold a bounded footprint and do minimal
work while idle, regardless of how long they stay open or how many tabs
are open.

**Steps to reproduce**

Open several issue/run tabs that have agents actively streaming and
leave them open for a while. Watch Chrome's Task Manager: Memory
Footprint climbs into the GBs while "JavaScript Memory" stays small, and
CPU stays high on idle tabs. Reproduced in ~90 minutes: a tab reached
2.7 GB footprint on a 66 MB JS heap, and the per-second timer-churn rate
was ~7× higher on a 90-minute-old tab than a fresh one.

**Paperclip version or commit**

Branch `fix/live-updates-churn`, off `master`.

**Deployment mode**

Local dev (`pnpm dev`), web UI. Not adapter-specific — core UI
live-updates plumbing (observed with `claude_local` / `codex_local`
runs).

## What Changed

- **`ui/src/lib/query-invalidation-batcher.ts` (new)** —
`createInvalidationBatcher` throttles + de-dupes React Query
invalidations into one flush per ~300 ms, and
`createCoalescingQueryClient` wraps the client via a `Proxy` so only
`invalidateQueries` is batched (optimistic `setQueryData` writes stay
immediate). Wired into `LiveUpdatesProvider`, which previously
invalidated synchronously on every websocket event.
- **`ui/src/hooks/useSecondTick.ts` (new)** — one shared, ref-counted,
page-wide 1 s ticker. `useLiveElapsed` in `IssueChatThread` now uses it
instead of a per-instance `setInterval` that forced a full-thread
re-render every second per live element.
- **`ui/src/components/transcript/useLiveRunTranscripts.ts`** — when the
realtime websocket is enabled, the recurring log poll backs off to a 30
s safety-net cadence instead of polling every 2 s on top of the live
stream. Added a marker for the durable poll→push rearchitecture.
- **`ui/src/lib/issueChatTranscriptRuns.ts`** —
`resolveIssueChatTranscriptRuns` now caps the streamed run set
(live/active runs always kept; most-recent linked runs fill up to 20) so
a large run history can't open a live-transcript poll per historical
run.
- **`ui/src/main.tsx`** — explicit `gcTime` so cross-tab-published cache
entries for unobserved resources are collected promptly.
- Tests for the batcher, shared ticker, and run cap.

## Verification

- `vitest`: new suites `query-invalidation-batcher.test.ts` (batcher
collapses 20 invalidations → 1 flush; keeps distinct keys/variants;
dispose cancels; proxy passes non-invalidate methods through),
`useSecondTick.test.tsx` (single ref-counted timer, stops when idle),
`issueChatTranscriptRuns.test.ts` (cap keeps newest + live). All pass.
- Existing affected suites pass: `LiveUpdatesProvider` (23),
`IssueChatThread` (), `useLiveRunTranscripts`,
`AgentDetail.instructions` — 109 tests across affected files.
- `tsc -b` clean.
- Behavior confirmed by live profiling before the change (2.7 GB / 66 MB
tab, ~8 interval churns/sec growing 7× with age). Runtime churn
reduction should be re-measured against a rebuilt bundle with the same
instrumentation.

## Risks

Low-to-moderate; all changes reduce work rather than add features.
- **Invalidation batching** delays live-driven refetches by up to ~300
ms. Optimistic `setQueryData` writes (e.g. the visible issue's new
comment) remain immediate, so foreground updates still feel instant;
only the safety-net refetch is throttled. Non-live invalidations (user
actions, mutations) are unaffected — they use the real client.
- **Poll back-off** relies on the websocket as the live source when
realtime is enabled; a 30 s fallback poll still covers gaps/reconnects
(both the transcript hook and `LiveUpdatesProvider` also
auto-reconnect).
- **Run cap (20)** means an issue with a very large run history streams
live transcripts only for its live/active + 20 most-recent runs; older
runs still open normally via their run pages.
- Downstream test fallout (timing-sensitive tests around
invalidation/polling) may need adjustment — flagged intentionally for
follow-up.

Durable follow-up (out of scope, marked in code): replace transcript/run
polling with server push (SSE/websocket deltas) so idle tabs do no
periodic work at all.

## Model Used

- **Provider:** Anthropic, via the Claude Code CLI.
- **Model:** Claude Opus 4.8 (`claude-opus-4-8`).
- **Reasoning mode:** Extended thinking enabled.
- **Capabilities used:** tool use (shell, file editing), sub-agent
fan-out for codebase analysis, and the Chrome DevTools MCP to reproduce
and profile the memory/CPU churn on a live instance.

## Checklist

- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work (a bug/perf fix, not planned core feature work)
- [x] I have searched GitHub for duplicate or related PRs and linked
them above (none found)
- [x] I have either (a) linked existing issues with `Fixes: #` / `Closes
#` / `Refs #` OR (b) described the issue in-PR following the relevant
issue template
- [x] I have not referenced internal/instance-local Paperclip issues or
links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip`
URLs)
- [x] My branch name describes the change (e.g. `docs/...`, `fix/...`)
and contains no internal Paperclip ticket id or instance-derived details
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] I have considered and documented any risks above
- [ ] I have updated relevant documentation to reflect my changes (N/A —
no user-facing docs; rationale documented inline)
- [x] All Paperclip CI gates are green
- [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups
- [x] I will address all Greptile and reviewer comments before
requesting merge

🤖 Generated with [Claude Code](https://claude.com/claude-code)

---------

Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>

2026-07-15 14:17:37 -05:00