PaperClipAI

Jannik/PaperClipAI

0 Fork 0

mirror of https://github.com/paperclipai/paperclip.git synced 2026-11-03 17:51:58 +01:00

Commit Graph

Author	SHA1	Message	Date
DottaandPaperclip	0e15c92073	feat(skills): make managed content independent of web-server disk (#18334 ) ## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Agents use installed skills and exact version pins during execution. > - Managed skills still depended on mutable directories on the web server. > - A replacement server could lose acknowledged edits or remove an unassigned skill whose directory was absent. > - This pull request makes immutable versions the authority for managed content and installed repository reads. > - The server can rebuild delivery files from durable content after replacement. > - This establishes skills readiness for ephemeral web servers. General server draining and workspace recovery remain separate work. ## Linked Issues or Issue Description Subsystem affected Skills services, shared contracts, database receipts, Skill Studio, and runtime delivery. Problem or motivation A fresh web server must discover, read, edit, and deliver protected installed skills using the same database, object storage, secrets, and supported application artifacts. It must not need its predecessor's files or process memory. Proposed solution Use `managed` ownership with a null source locator. Read installed content by immutable version. Prepare packages before a short publication transaction. Persist execution selections before materialization. Recover exact pinned runtime assets and reject deletion while active or recovering pins exist. Alternatives considered Reconstructing a mutable installed directory preserves the old source-of-truth ambiguity. Permanent dual writes create two competing authorities. This change uses one managed model after a bounded legacy conversion. Roadmap alignment This improves the existing Skills Manager, Studio, version history, and Cloud execution capabilities. The maintainer supplied the implementation contract. This does not add a separate skills product or deploy fleet changes. Related work: #18082 supplies immutable package storage. #17273 addresses edits outside the API for linked local skills; this PR keeps that source category separate. #2648 is a closed earlier ephemeral-filesystem proposal. ## What Changed - Add managed ownership and focused content publication and execution materialization modules. Keep the archive format and package storage tables. - Publish managed create, save, delete, fork, rename, restore, and catalog content with version checks. Add durable create receipts. Preserve file-save receipt responses. - Return file version identities. Keep Studio drafts after a conflict and provide an explicit reload action. A delayed reload cannot overwrite newer typing or navigation. - Persist exact runtime selections, including empty selections. Rebuild pinned assets and verify their admitted digests on a replacement server. - Preserve source access on forks and disconnected copies. Keep the existing workspace policy category for managed skills. - Add bounded conversion, eligibility, and independent verification phases. Load persisted Cloud configuration in the standalone CLI without seeding or changing it. Reject partial current versions against installed inventories; recover only complete saved content or the exact source. Document storage migration blockers and the compatible rollback floor. - Add separate-process PostgreSQL/S3 qualification and update domain, retention, policy, and UI regressions. - Pass the plugin worker manager into Studio execution, admit restricted `skill_test` mode through native Runner contracts, and preserve admitted scope across native and REST tools. Native tests cannot create ordinary tasks, browse company data, or use external tools. - Select the exact durable Studio revision even when unassigned or Beta skills is off. Persist Studio output and audit atomically with native task completion, preserving the result on replay. ## Verification - Final revision `13e8af480b88ba6fea5737bac4bd81104d604792` passed full CI: all 49 workflow jobs completed successfully ([run 41127396098](https://github.com/paperclipai/paperclip/actions/runs/41127396098)). This includes typecheck, test suites, Runner checks, browser checks and build. Greptile review 15 is 5/5 on that same revision, with zero unresolved threads. The PR is ready for review. - Local workspace typecheck and build passed after integrating master. Focused checks passed: 33 execution/completion cases, 52 Runner HTTP cases, 16 managed-content cases, 17 Studio cases, the new real-process CLI regression, map checks and UI token gates. The CLI regression proves inspection does not seed missing Cloud configuration. Server typecheck passed after that fix. - The independent-process PostgreSQL/S3 matrix passed through normal HTTP skill routes. It covers A → B → C replacement, lost commit responses, upload crashes, concurrent saves, binary contents and executable delivery. Metadata listing and warm selected delivery retain zero object downloads. Local timing measurements are recorded; they do not establish hosted latency. - Hosted A → B → C passed on the owned disposable test tenant with external Postgres, S3 and a real remote Paperclip Computer. Predecessor temporary homes were absent. C read and executed B's acknowledged managed save. New runs used repository v1 while v2 was installed. Hashes matched an independently checked exact upstream commit. - Compatible image rollback to `6518b323` passed. Studio retained the unassigned fork's C save. A fresh remote run executed the newer managed content and historical repository pin. The actual shell event confirmed expected hashes, stdout, exit 0 and mode 0555. - Runtime candidate `9200e3fcb4` deployed successfully ([Cloud run 41124147876](https://github.com/paperclipai/paperclip-cloud/actions/runs/41124147876)). The final Studio test delivered only the unassigned fork's exact v3, executed its script and persisted a successful output snapshot. Independent command-event inspection confirmed all three hashes, stdout, exit 0 and mode 0555. All 14 installations were version-backed. Independent verification checked all 25 versions: 23 remote objects, two bundled database snapshots, zero blockers. - The deployed image is `9200e3fcb4`. Later master integration, the client-only delayed-reload draft guard and the CLI bootstrap have separate automated proof. The CLI bootstrap was also exercised against the tenant's stored configuration and storage through the same read-only services. This PR does not claim that the deployed image is the final PR revision. - Live Studio checks exposed worker wiring, admission, access scope, exact selection and completion-publication gaps. They are fixed. Failed attempts remain in the evidence. The full local suite exceeded 80 minutes under host contention and was stopped. Later combined/isolated local attempts also timed out; they are not counted as passes. Full CI covers the integrated suites. Earlier CI found an obsolete restart-scope fixture, which was corrected and passed all 52 HTTP cases. - Reproduction and migration: [`doc/skill-ephemeral-web-servers.md`](doc/skill-ephemeral-web-servers.md). Source revisions, deployments, versions, run IDs, hashes and failure history: [`doc/plans/2026-10-30-ephemeral-web-skills.md`](doc/plans/2026-10-30-ephemeral-web-skills.md). ## Risks - Legacy conversion requires stopped admission and retired filesystem-authoritative writers. Pre-conversion binaries are not supported rollback targets afterward. - Cloud readiness requires remote object storage. Local provider receipts and provider mismatches remain blockers until objects are copied and verified. - Linked local sources retain filesystem semantics and are outside the cloud guarantee. - Cold reads still fetch the existing archive format. Warm runtime preparation retains the verified-cache path. - Bundled reconciliation preserves an installed head. Existing release snapshots remain selectable. An older server must not replace a newer head with its shipped files. - No production volumes, fleet defaults, or general deployment coordination change in this PR. ## Model Used OpenAI Codex, GPT-6 family, with reasoning, repository tools, code execution, and browser use. The exact backend model ID and context-window size are not exposed in this session. No subagents were used. ## 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 - [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>	2026-10-30 16:18:27 -05:00
Dotta Paperclip Claude Opus 4.8	b13eb5b2b5	Skill Studio: three-pane skill IDE with sandboxed test runs (#9241 ) ## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - The Skills Manager gives operators a reusable skill layer, but iteration still required manual edits, ad hoc prompts, and indirect run inspection. > - Skill authors need a focused workflow for editing skill files, saving representative test inputs, and running those inputs through an agent without exposing harness tasks as normal company work. > - The backend therefore needs durable test inputs, reusable run templates, hidden harness issues, scoped run execution, retention metadata, and read-containment rules around hidden work. > - The frontend needs a three-pane Studio that keeps skill files, saved inputs/templates, and run output/history visible together while preserving the existing design system and token rules. > - This pull request ships that Skill Studio surface end to end: database migrations, shared contracts, server APIs/services, hidden harness execution behavior, UI routes/components, and focused tests. > - The benefit is faster and safer skill iteration, with inspectable outputs and fewer ways for internal harness work to leak into normal task lists, costs, or adjacent read APIs. ## Linked Issues or Issue Description No public GitHub issue exists for this feature. Feature request summary: - Problem: Skill authors need to edit and test company skills in one place instead of switching between the skill detail page, task creation, run output, and manual prompt history. - Proposed solution: Add a Skill Studio workbench with saved inputs, reusable templates, hidden sandboxed test runs, live run status, output inspection, run history, rerun/delete controls, and frontmatter-aware editing. - Expected users: Paperclip operators and agent-company maintainers who create, fork, import, and tune skills. - Related public PRs: Supersedes #9205, which was replaced so the public PR branch name follows contributor policy. - Duplicate search: searched public GitHub issues and PRs for "Skill Studio"; no other active public issue or PR directly covers this feature. ## What Changed - Added database migrations for Skill Studio test inputs, test runs, test run retention, and reusable run templates. - Added shared Skill Studio types, validators, route helpers, frontmatter utilities, and status handling. - Added server services and routes for saved inputs, test runs, templates, reruns, terminal-run deletion, hidden harness issue execution, and run-detail hydration. - Strengthened hidden-issue read containment across issue-adjacent routes and cost rollups used by skill test harness work. - Added the Skill Studio UI with skill file editing, frontmatter editing, saved inputs, templates, run creation/cancel/rerun/delete flows, output rendering, history, route support, and responsive pane behavior. - Added focused backend, shared, and UI tests for the new APIs, routing logic, editor/run behavior, hidden-issue containment, and migration safety. - Rebased onto current `master`, removed the generated lockfile diff from the PR, and verified no workflow files are changed. ## Verification - [x] `pnpm --filter @paperclipai/db check:migrations` - [x] `pnpm check:token-gates` - [x] `pnpm exec vitest run server/src/__tests__/company-skills-service.test.ts server/src/__tests__/company-skills-routes.test.ts server/src/__tests__/company-skill-test-runs-service.test.ts ui/src/lib/skill-studio.test.ts ui/src/pages/SkillStudio.test.tsx` — 5 files, 132 tests passed - [x] Greptile review on the latest PR head - [x] GitHub PR checks on the latest PR head ## Risks - Medium risk because this is a broad feature touching database schema, server orchestration, issue visibility, and a large UI surface. - Hidden harness issue containment is security-sensitive; this PR includes regression coverage for adjacent read paths and cost rollups. - The new migrations are additive and use idempotent guards where applicable, but deployed databases that previously tested draft migration numbers should still be checked carefully. - The UI depends on a new resizable panels package in `ui/package.json`; the lockfile is intentionally left to repository automation. > For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and discuss it in `#dev` before opening the PR. Feature PRs that overlap with planned core work may need to be redirected — check the roadmap first. See `CONTRIBUTING.md`. ## Model Used OpenAI Codex, GPT-5 coding agent with shell, git, and GitHub CLI tool use. Earlier feature commits include assistance from other Paperclip coding agents; this PR preparation, rebase, cleanup commit, and PR body were completed by OpenAI Codex in a Paperclip worktree. ## 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 - [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> Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>	2026-07-09 13:08:56 -05:00

Author

SHA1

Message

Date

DottaandPaperclip

0e15c92073

feat(skills): make managed content independent of web-server disk (#18334 )

## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work.
> - Agents use installed skills and exact version pins during execution.
> - Managed skills still depended on mutable directories on the web
server.
> - A replacement server could lose acknowledged edits or remove an
unassigned skill whose directory was absent.
> - This pull request makes immutable versions the authority for managed
content and installed repository reads.
> - The server can rebuild delivery files from durable content after
replacement.
> - This establishes skills readiness for ephemeral web servers. General
server draining and workspace recovery remain separate work.

## Linked Issues or Issue Description

**Subsystem affected**

Skills services, shared contracts, database receipts, Skill Studio, and
runtime delivery.

**Problem or motivation**

A fresh web server must discover, read, edit, and deliver protected
installed skills using the same database, object storage, secrets, and
supported application artifacts. It must not need its predecessor's
files or process memory.

**Proposed solution**

Use `managed` ownership with a null source locator. Read installed
content by immutable version. Prepare packages before a short
publication transaction. Persist execution selections before
materialization. Recover exact pinned runtime assets and reject deletion
while active or recovering pins exist.

**Alternatives considered**

Reconstructing a mutable installed directory preserves the old
source-of-truth ambiguity. Permanent dual writes create two competing
authorities. This change uses one managed model after a bounded legacy
conversion.

**Roadmap alignment**

This improves the existing Skills Manager, Studio, version history, and
Cloud execution capabilities. The maintainer supplied the implementation
contract. This does not add a separate skills product or deploy fleet
changes.

Related work: #18082 supplies immutable package storage. #17273
addresses edits outside the API for linked local skills; this PR keeps
that source category separate. #2648 is a closed earlier
ephemeral-filesystem proposal.

## What Changed

- Add managed ownership and focused content publication and execution
materialization modules. Keep the archive format and package storage
tables.
- Publish managed create, save, delete, fork, rename, restore, and
catalog content with version checks. Add durable create receipts.
Preserve file-save receipt responses.
- Return file version identities. Keep Studio drafts after a conflict
and provide an explicit reload action. A delayed reload cannot overwrite
newer typing or navigation.
- Persist exact runtime selections, including empty selections. Rebuild
pinned assets and verify their admitted digests on a replacement server.
- Preserve source access on forks and disconnected copies. Keep the
existing workspace policy category for managed skills.
- Add bounded conversion, eligibility, and independent verification
phases. Load persisted Cloud configuration in the standalone CLI without
seeding or changing it. Reject partial current versions against
installed inventories; recover only complete saved content or the exact
source. Document storage migration blockers and the compatible rollback
floor.
- Add separate-process PostgreSQL/S3 qualification and update domain,
retention, policy, and UI regressions.
- Pass the plugin worker manager into Studio execution, admit restricted
`skill_test` mode through native Runner contracts, and preserve admitted
scope across native and REST tools. Native tests cannot create ordinary
tasks, browse company data, or use external tools.
- Select the exact durable Studio revision even when unassigned or Beta
skills is off. Persist Studio output and audit atomically with native
task completion, preserving the result on replay.

## Verification

- Final revision `13e8af480b88ba6fea5737bac4bd81104d604792` passed full
CI: all 49 workflow jobs completed successfully ([run
41127396098](https://github.com/paperclipai/paperclip/actions/runs/41127396098)).
This includes typecheck, test suites, Runner checks, browser checks and
build. Greptile review 15 is 5/5 on that same revision, with zero
unresolved threads. The PR is ready for review.
- Local workspace typecheck and build passed after integrating master.
Focused checks passed: 33 execution/completion cases, 52 Runner HTTP
cases, 16 managed-content cases, 17 Studio cases, the new real-process
CLI regression, map checks and UI token gates. The CLI regression proves
inspection does not seed missing Cloud configuration. Server typecheck
passed after that fix.
- The independent-process PostgreSQL/S3 matrix passed through normal
HTTP skill routes. It covers A → B → C replacement, lost commit
responses, upload crashes, concurrent saves, binary contents and
executable delivery. Metadata listing and warm selected delivery retain
zero object downloads. Local timing measurements are recorded; they do
not establish hosted latency.
- Hosted A → B → C passed on the owned disposable test tenant with
external Postgres, S3 and a real remote Paperclip Computer. Predecessor
temporary homes were absent. C read and executed B's acknowledged
managed save. New runs used repository v1 while v2 was installed. Hashes
matched an independently checked exact upstream commit.
- Compatible image rollback to `6518b323` passed. Studio retained the
unassigned fork's C save. A fresh remote run executed the newer managed
content and historical repository pin. The actual shell event confirmed
expected hashes, stdout, exit 0 and mode 0555.
- Runtime candidate `9200e3fcb4` deployed successfully ([Cloud run
41124147876](https://github.com/paperclipai/paperclip-cloud/actions/runs/41124147876)).
The final Studio test delivered only the unassigned fork's exact v3,
executed its script and persisted a successful output snapshot.
Independent command-event inspection confirmed all three hashes, stdout,
exit 0 and mode 0555. All 14 installations were version-backed.
Independent verification checked all 25 versions: 23 remote objects, two
bundled database snapshots, zero blockers.
- The deployed image is `9200e3fcb4`. Later master integration, the
client-only delayed-reload draft guard and the CLI bootstrap have
separate automated proof. The CLI bootstrap was also exercised against
the tenant's stored configuration and storage through the same read-only
services. This PR does not claim that the deployed image is the final PR
revision.
- Live Studio checks exposed worker wiring, admission, access scope,
exact selection and completion-publication gaps. They are fixed. Failed
attempts remain in the evidence. The full local suite exceeded 80
minutes under host contention and was stopped. Later combined/isolated
local attempts also timed out; they are not counted as passes. Full CI
covers the integrated suites. Earlier CI found an obsolete restart-scope
fixture, which was corrected and passed all 52 HTTP cases.
- Reproduction and migration:
[`doc/skill-ephemeral-web-servers.md`](doc/skill-ephemeral-web-servers.md).
Source revisions, deployments, versions, run IDs, hashes and failure
history:
[`doc/plans/2026-10-30-ephemeral-web-skills.md`](doc/plans/2026-10-30-ephemeral-web-skills.md).

## Risks

- Legacy conversion requires stopped admission and retired
filesystem-authoritative writers. Pre-conversion binaries are not
supported rollback targets afterward.
- Cloud readiness requires remote object storage. Local provider
receipts and provider mismatches remain blockers until objects are
copied and verified.
- Linked local sources retain filesystem semantics and are outside the
cloud guarantee.
- Cold reads still fetch the existing archive format. Warm runtime
preparation retains the verified-cache path.
- Bundled reconciliation preserves an installed head. Existing release
snapshots remain selectable. An older server must not replace a newer
head with its shipped files.
- No production volumes, fleet defaults, or general deployment
coordination change in this PR.

## Model Used

OpenAI Codex, GPT-6 family, with reasoning, repository tools, code
execution, and browser use. The exact backend model ID and
context-window size are not exposed in this session. No subagents were
used.

## 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
- [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>

2026-10-30 16:18:27 -05:00

b13eb5b2b5

Skill Studio: three-pane skill IDE with sandboxed test runs (#9241 )

## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work.
> - The Skills Manager gives operators a reusable skill layer, but
iteration still required manual edits, ad hoc prompts, and indirect run
inspection.
> - Skill authors need a focused workflow for editing skill files,
saving representative test inputs, and running those inputs through an
agent without exposing harness tasks as normal company work.
> - The backend therefore needs durable test inputs, reusable run
templates, hidden harness issues, scoped run execution, retention
metadata, and read-containment rules around hidden work.
> - The frontend needs a three-pane Studio that keeps skill files, saved
inputs/templates, and run output/history visible together while
preserving the existing design system and token rules.
> - This pull request ships that Skill Studio surface end to end:
database migrations, shared contracts, server APIs/services, hidden
harness execution behavior, UI routes/components, and focused tests.
> - The benefit is faster and safer skill iteration, with inspectable
outputs and fewer ways for internal harness work to leak into normal
task lists, costs, or adjacent read APIs.

## Linked Issues or Issue Description

No public GitHub issue exists for this feature. Feature request summary:

- Problem: Skill authors need to edit and test company skills in one
place instead of switching between the skill detail page, task creation,
run output, and manual prompt history.
- Proposed solution: Add a Skill Studio workbench with saved inputs,
reusable templates, hidden sandboxed test runs, live run status, output
inspection, run history, rerun/delete controls, and frontmatter-aware
editing.
- Expected users: Paperclip operators and agent-company maintainers who
create, fork, import, and tune skills.
- Related public PRs: Supersedes #9205, which was replaced so the public
PR branch name follows contributor policy.
- Duplicate search: searched public GitHub issues and PRs for "Skill
Studio"; no other active public issue or PR directly covers this
feature.

## What Changed

- Added database migrations for Skill Studio test inputs, test runs,
test run retention, and reusable run templates.
- Added shared Skill Studio types, validators, route helpers,
frontmatter utilities, and status handling.
- Added server services and routes for saved inputs, test runs,
templates, reruns, terminal-run deletion, hidden harness issue
execution, and run-detail hydration.
- Strengthened hidden-issue read containment across issue-adjacent
routes and cost rollups used by skill test harness work.
- Added the Skill Studio UI with skill file editing, frontmatter
editing, saved inputs, templates, run creation/cancel/rerun/delete
flows, output rendering, history, route support, and responsive pane
behavior.
- Added focused backend, shared, and UI tests for the new APIs, routing
logic, editor/run behavior, hidden-issue containment, and migration
safety.
- Rebased onto current `master`, removed the generated lockfile diff
from the PR, and verified no workflow files are changed.

## Verification

- [x] `pnpm --filter @paperclipai/db check:migrations`
- [x] `pnpm check:token-gates`
- [x] `pnpm exec vitest run
server/src/__tests__/company-skills-service.test.ts
server/src/__tests__/company-skills-routes.test.ts
server/src/__tests__/company-skill-test-runs-service.test.ts
ui/src/lib/skill-studio.test.ts ui/src/pages/SkillStudio.test.tsx` — 5
files, 132 tests passed
- [x] Greptile review on the latest PR head
- [x] GitHub PR checks on the latest PR head

## Risks

- Medium risk because this is a broad feature touching database schema,
server orchestration, issue visibility, and a large UI surface.
- Hidden harness issue containment is security-sensitive; this PR
includes regression coverage for adjacent read paths and cost rollups.
- The new migrations are additive and use idempotent guards where
applicable, but deployed databases that previously tested draft
migration numbers should still be checked carefully.
- The UI depends on a new resizable panels package in `ui/package.json`;
the lockfile is intentionally left to repository automation.

> For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and
discuss it in `#dev` before opening the PR. Feature PRs that overlap
with planned core work may need to be redirected — check the roadmap
first. See `CONTRIBUTING.md`.

## Model Used

OpenAI Codex, GPT-5 coding agent with shell, git, and GitHub CLI tool
use. Earlier feature commits include assistance from other Paperclip
coding agents; this PR preparation, rebase, cleanup commit, and PR body
were completed by OpenAI Codex in a Paperclip worktree.

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

2026-07-09 13:08:56 -05:00