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codex/plugin-task-execution
14
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dd777f4b73 |
feat(dot): complete onboarding and expand governed Runner capabilities (#15414)
## Thinking Path
> - Paperclip manages AI agents, their work, and their permissions.
> - Paperclip Runner supplies the same admitted tool authority to each
provider.
> - The Dot provider in #15402 needs reliable onboarding and useful
agent capabilities.
> - An idle Dot could not start work, assign a human, read skills, or
produce a workspace artifact.
> - Pairing also relied on a second configuration save before ordinary
admission could work.
> - This pull request adds governed idle admission and shared Runner
tools, and completes pairing atomically.
> - Operators can test Dot with fresh data while keeping normal company,
approval, budget, and run ownership checks.
## Linked Issues or Issue Description
**Subsystem affected**
Paperclip Runner, dedicated Dot MCP access, OAuth onboarding,
experimental settings, and empty worktree startup. This PR builds on
merged provider PR #15402. It reuses the merged MCP gateway from #14846
and assistant connection work from #14933 and #15380.
**Problem or motivation**
An idle Dot could see assignments but could not act on a conversation
request until someone created a task first. Its Runner catalog could not
assign tasks to humans or read pinned skills and workspace files.
First-time OAuth discovery and pairing also needed browser fixes, and a
completed pairing did not persist its binding reference on the agent.
**Proposed solution**
Keep Dot within the existing Runner. Admit a visible agent-authored
intake task for idle requests. Add people, human assignment, cross-task,
skill, and optional sandbox workspace tools through shared authority.
Relay assigned app calls through the configured MCP gateway. Add lease
renewal and follow-up references. Save pairing and its configuration
revision atomically. Show prerequisites and provide a complete copy
prompt.
**Roadmap alignment**
This extends the experimental provider in #15402. It uses the existing
governed gateway, task model, skills, artifact path, and native Runner.
It adds no separate execution subsystem.
## What Changed
- Add a standalone OpenAI Dot agent choice with an independent
experimental opt-in. It works with the general Runner option off.
Require Assistant connections (MCP), authenticated sign-in, and public
HTTPS for pairing.
- Use Dot’s own option for company package import. Allow an unpaired Dot
configuration to save after external billing acknowledgement; task
admission still requires pairing. Prepare the shared dev binary for
Dot-only opt-in.
- Label saved Dot agents as OpenAI Dot. Use prerequisite-check copy in
setup and runtime configuration.
- Route Dot creation directly to pairing after explicit external billing
acknowledgement. Hide local CLI, model, and harness setup for Dot.
Preserve the shared Runner implementation and canonical API type. Other
Runner providers still require their general opt-in.
- Add an empty worktree option with fresh signing keys and no production
data copy.
- Fix public-client OAuth negotiation, discovery compatibility, and
optional separate browser authorization origin.
- Add one-use pairing consent preview, clear copied setup instructions,
and atomic binding persistence and cleanup.
- Add idle request admission with stable request IDs and normal
scheduling, permissions, budgets, and task ownership.
- Add identity and people discovery, human task assignment and
reassignment, and authorized cross-task comments and documents.
- Read assigned skill files from pinned manifests. Relay assigned app
calls through the merged gateway without exposing credentials.
- Add an off-by-default workspace bridge. Constrain paths and writes.
Run commands in a deny-by-default OS sandbox with no network or injected
credentials. Reserve mutations before effects and never blindly repeat
uncertain work.
- Add rolling lease renewal, task pagination, bounded operation limits,
and deduplicated follow-up references without comment bodies in
webhooks.
- Add an off-by-default attachment reading setting. Restrict reads to
files on the current assigned task. Verify size and hash, cache bounded
verified copies per run, paginate text or binary bytes, and recheck live
authority before returning.
- Keep file grants operator-owned. Reject agent self-grants across
configuration routes. Preserve attachment consent in create/import
forms. Close generic API file bypasses while retaining current-run
response snapshots and permitted uploads.
- Keep provider limits explicit. Do not inherit a Dot binding,
attachment permission, or workspace permission when hiring another
agent.
- Include the required Markdown format in cross-task document writes and
validate the API title limit. Verify real creation and revision
persistence.
- Restrict command execution to Linux bubblewrap with descendant
containment. macOS retains workspace file tools and artifact publishing,
while refusing command calls. Explain the platform limit in setup.
- Exclude Paperclip instance state from workspace files, uploads,
artifact publication, and sandbox commands. Protect nested directories
and case variants. Fail closed when the directory protection scan
exceeds 4,096 directories.
- Add static UI compression for slow public tunnels. Document setup, the
complete tool inventory, and qualification limits.
## Verification
- Merge preparation on `00ca2c75b` integrates merged base #15402 and
master `fc6304dfe`. The ancestry commit preserves the reviewed follow-up
source tree. The subsequent security fix excludes instance state from
file tools, uploads, artifact publication, and sandbox commands. It
preserves private task authorization and task monitors. It regenerates
the combined tool catalog, seeded catalog digest, and protocol manifest.
Workspace typecheck, full build, and UI token gates pass. All sixteen
real Dot broker cases and 93 company import cases pass after the review
fixes and creator-attribution test correction. The exported
human-assignment catalog and Unicode page boundaries are also fixed. All
ten catalog tests and nine workspace/skill bridge tests pass. All 35
workspace bridge and authority tests passed after the instance-state
fix, including real macOS commands in that intermediate version. The
subsequent document and descendant-containment fixes pass 44 focused
tests across bridge, authority, and setup UI, with six Linux command
cases skipped on macOS. Real cross-task documents pass the route
validator and persist two revisions. macOS refuses command execution and
does not advertise the tool. Full workspace typecheck and build, changed
server/UI typechecks, and token gates pass again on the final commit.
Greptile rates final head
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8cfedd7df8 |
fix(runner): restore task monitors and durable timed waits (#15446)
## Thinking Path > - Paperclip manages AI agents and their task execution. > - Agents need a durable way to return to work after a delayed check. > - The issue monitor scheduler already provides a one-shot wake for an assignee. > - Native runners reject generic execution-policy writes and had no bound monitor tool. > - Scheduling alone is insufficient because native completion also needs to accept a timed wait. > - This pull request adds an authorized monitor tool and connects it to completion and the existing scheduler. > - An agent can now schedule its next check, end the run, and resume on the same task. ## Linked Issues or Issue Description **What happened?** A native runner could not set its own task monitor. `call_api` correctly rejected execution-policy writes, while `schedule_wake` had no production binding. `paperclip_finish` also rejected monitor waits. **Expected behavior** A standard native run can set a one-shot monitor on its current task or another accessible task assigned to the same agent. After a confirmed schedule on the current task, it can yield. The scheduler later delivers `issue_monitor_due`. **Steps to reproduce** 1. Start a standard native task. 2. Ask the agent to check the task again later and end its current run. 3. Inspect available tools and try the generic issue execution-policy update. 4. Observe the missing native tool and the lifecycle-write denial. Related PRs: #14680 concerns monitor notes in the shared wake prompt. #11919 changes attempt-limit scope. This PR adds native scheduling and completion authority and retains the existing cumulative attempt bounds. It does not depend on either PR. ## What Changed - Add provider-neutral `set_task_monitor` with a default current-task target, future timestamp, required notes, existing bounds, and explicit clearing. - Check company, task visibility, ownership, runtime permissions, work mode, and active-run authority. Preserve review-only restrictions. Reject the reserved server-owned quota-recovery name before saving or accepting a native wait. - Commit the monitor, audit event, and retry receipt together. Retry receipts survive a successor run without re-arming cleared or consumed timers. - Permit `paperclip_finish` to yield to a persisted monitor. Recheck ownership and the schedule when committing final disposition. Release execution without an immediate continuation. - Preserve due monitors during native execution. Fence wake admission and consumption against replacement, clearing, reassignment, and completion. Preserve unrelated review policy. - Expose scheduled and consumed monitor instructions in task context. Update provider schemas, Rust validation, generated contracts, and execution documentation. - Add an opt-in live Codex smoke script with isolated data and explicit run/session/runner/process evidence. ## Verification - Repository `pnpm -r typecheck` and `pnpm build` passed after rebase. Server typecheck passed again after review fixes. All CI test shards pass on `3def77b1b`, including runner TypeScript/Rust, server, serialized server, workspace, and browser tests. All CI gates are green, including the canary dry run. Greptile is 5/5 on the same commit with zero unresolved threads. - The local monolithic `pnpm test:run`, started before the rebase, was interrupted after current-head CI test coverage passed. It is not counted as a standalone full-suite pass; the focused local regression suites passed. - Targeted server tests cover scheduling, replacement, clearing, policy preservation, cumulative bounds, cross-run retries, permissions, provider-neutral discovery, review restrictions, completion authority, and scheduler/finalizer races. - Runner contract/catalog/semantic tests and Rust terminal-tool tests cover the new operation and monitor completion. - Live Codex test passed twice (latest live run on `e0bcd63e6`) in a temporary database and workspace, with a 300,000 ms warm window. First run `67bd7709-c089-4d4a-9d2b-0d6b618a34b0` yielded at `2026-10-07T13:15:03.274Z`. Second run `97c323f9-595a-4cc5-a007-db5a2fbb937c` started at `13:15:30.952Z`, received `issue_monitor_due`, and completed the same task. Exactly one monitor wake was recorded. - Both live runs used native session `7b1dd753-1c9b-4e7a-b22f-a125dbc3748c`, runner `e90d9a1b-3502-4ee3-b15e-edc024c555d4`, provider session `01a11680-6d01-70c0-9a55-db7246ed66c3`, and PID `64218` with the same process start time. This proves warm reuse for that local Codex test, not only successful scheduling. - Reproduce the paid live test with `node --import ./server/node_modules/tsx/dist/loader.mjs server/scripts/smoke-native-task-monitor.ts --run`, with the installed Codex binary on `PATH` and a valid local login. ## Risks - The scheduler now defers monitor dispatch while the task has an active native run. A stuck run still depends on the existing recovery lifecycle. - Idempotency uses the existing run ledger; no table or migration is added. - Other providers share the tested tool and completion contracts. Only Codex received a live model test. - Existing `call_api` lifecycle restrictions remain enforced. Monitor waits do not bypass task blockers, reviews, or approvals. ## Model Used OpenAI Codex, GPT-6 family, with tool use, code execution, and TypeScript/Rust editing. The session does not expose the exact deployed model ID or context-window size. ## 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> |
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a65ca09508 |
fix(runner): settle accepted results after shutdown failures (#15217)
## Thinking Path > - Paperclip manages AI agents and the tasks they perform. > - The native runner saves tool results and completion reports before it releases a session. > - Large project discovery responses can exceed the durable command limit. > - A shutdown failure can leave a saved answer waiting for workspace repair. > - Recovery reused the old assessment for a different status decision, which violated a database constraint. > - This pull request bounds discovery responses and lets recovery commit the saved result after workspace repair. > - The benefit is a task that reaches its correct final status without another provider turn. ## Linked Issues or Issue Description **What happened?** A native run can save its final answer, fail during shutdown, and leave the task In Progress after workspace repair succeeds. Reconciliation tries to reuse the failed-workspace assessment for a new decision. The one-decision-per-assessment constraint rejects the write. Replaying the old decision can also retain a fresh coordinator lease. Separately, retained session cleanup only recognizes the old `adapter_failed` label. The project-list tool returns full project records, including large descriptions and workspace configuration. A large response exceeds the runner's durable command limit. The settlement diagnostic previously recorded only a failure flag. **Expected behavior** Project discovery stays within the command limit. Recovery finishes the saved result after workspace repair, releases its lease, and preserves the original error for inspection. It does not repeat provider work or relax session ownership checks. **Steps to reproduce** 1. Return large project records from `list_projects` and observe an oversized semantic result. 2. Persist an accepted native completion result, then record a shutdown failure. 3. Finalize with a failed workspace, repeat that attempt, then record successful workspace repair. 4. Reconcile the run. Before this fix, the issue stays In Progress. **Paperclip version or commit** Reproduced on `a386a599983519eb1d399f8b770bfccdb2a74762`. **Deployment mode** Self-hosted server with Paperclip Runner. Related transport work: #12208 drains queued events; #12241 resumes interrupted semantic calls. This change addresses bounded project discovery and accepted-result finalization. ## What Changed - Read bounded project summary projections from the database and return at most 50 authorized summaries with a continuation cursor and explicit description truncation. Agent and run trust boundaries narrow the database candidates; project-specific policies still receive full authorization. Only visible projects determine continuations. The default project-list API remains unchanged. - Record bounded, content-free settlement failure causes for command limits, storage errors, and rejected dispatch. - Include workspace state in assessment identity. Preserve the initial assessment for interrupted finalization, and commit replacement assessment and decision references together. - Release the coordinator lease when an existing decision is replayed, without repeating its effects. - Clear stale errors when recovery succeeds and retain them in `recoveredExecutionFailure`. - Accept both current and legacy close-failure labels in the existing exact-state cleanup path. - Add regression tests and update the tool contracts and recovery documentation. ## Verification - Red: the new project paging, settlement diagnostic, current cleanup label, and repaired-workspace regressions failed on the original implementation. - Green: protocol/catalog/tool checks (117 tests), the full project-tool and finalizer suites (47 tests), cleanup ownership cases (70 tests), and cleanup sweep cases (4 tests) pass. Database-backed pagination covers large descriptions/configuration, complete enumeration, uppercase cursors, agent/run restrictions, project-policy scope contributions, and identical results/cursors when hidden projects are added. - The initial CI failures in interrupted Board waits, contended endpoint proof, and semantic schema validation were reproduced and fixed; all affected cases pass locally. - `pnpm -r typecheck` — passed. - `pnpm build` — passed. - `pnpm test:run` — started before the review corrections; it spanned several source revisions and was stopped after reporting old-behavior and timing failures. It is not claimed green. Fresh project and recovery suites pass; the recovery suite also passes all 25 cases with the broad runner’s isolated home/config. The Slack timing case passed in isolation. Latest-head CI is the authoritative complete test matrix. - Existing authorization suite — 66 tests passed. - Latest-head CI on `8e5763d915aa6f375bdab6601996899ea01496fc` — 55 checks passed, 4 intentionally skipped, no pending or failing checks. - Greptile — 5/5, zero unresolved threads on the same commit. - `git diff --check` — passed. ## Risks - `list_projects` now returns summaries. Callers must follow `nextCursor` and use the authorized project API for full records. Candidate narrowing is only an optimization: project policy and responsible-user authorization remain authoritative. - Assessment identity changes for workspace finalization. Existing evidence remains intact; no migration is needed. - Cleanup still requires matching identities, settled tool evidence, and verified process ownership. Unknown tool outcomes remain blocked from session reuse. ## Model Used OpenAI Codex, based on GPT-6, with reasoning, code execution, and GitHub tools. The exact serving model ID and context window 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 - [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> |
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018993140f |
feat: let agents name prompt-only tasks (#14761)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Users create tasks with a title and a description. > - A required title adds work when the prompt already explains the request. > - An agent can name the task once it reads that request. > - This pull request accepts prompt-only tasks and starts them with a short prompt slice. > - A scoped title tool lets the assigned agent replace that slice early without changing execution state. > - A live browser eval checks the real agent call, saved title, audit entry, and preservation of user titles. ## Linked Issues or Issue Description **Subsystem affected** Cross-cutting: task creation, shared contracts, database, server, runner tools, and board UI. **Problem or motivation** Users must currently write a title before they can submit a detailed task prompt. The agent has enough context to write a useful title itself. **Proposed solution** Make the title optional when a description is present. Save the first 120 characters of the normalized prompt as a provisional title. Ask the assigned agent to call `set_task_title` early. Use an atomic provisional-title guard to preserve titles supplied or edited by users. Keep explicit titles supported. Related: #14543 and #14556 concern empty-title submission. This change intentionally enables that submission when a prompt is present, instead of requiring a title. ## What Changed - Add the `titleNeedsGeneration` field with an idempotent migration. Keep existing titles unchanged. - Add `PUT /api/issues/:id/title` and the native and legacy `set_task_title` tool. Enforce company access, active-run ownership, shared, bounded retry receipts across native/HTTP calls, and transactional audit logging. Refresh external-object links after commit, with the same feature gate and plugin detectors as ordinary title edits. - Add early naming guidance in Standard, Ask, and Plan task context. Preserve the description, status, and assignment. - Allow prompt-only root and child task creation, plus draft restoration in the New Task dialog. Keep user titles supported. - Add an opt-in Product E2E suite for prompt-only Standard and Ask tasks, plus an explicit-title control. It checks actual provider calls within the first five tools, persisted state, audit attribution, and the reloaded UI. - Preserve a closed vocabulary of API key maintenance phrases in declared prose while rejecting opaque credential suffixes. Add one bounded naming retry after wording is rejected, without treating the rejected call as a saved title. - Repair the native cleanup receipt check exposed during full verification: accept matching input digests, retain legacy input checks, and reject conflicting receipts. ## Verification - Live Product E2E on `f43478473800e3a46b85c5ee79677efdb15108e7`: **3/3 passed** with native Codex `gpt-5.4-mini`, first attempts only, automatic retries disabled. Standard and Ask each saved “Rotate expired API key” on their first tool call, with matching persisted state and a single same-run audit entry. The explicit-title control retained its user title with zero title writes. All three verified the reloaded browser UI. - Campaign: `local-2026-09-30T21-30-11-021Z`. Earlier failed campaigns are retained separately; they exposed credential-prose handling and prompted the naming recovery fix. No failed result was regraded or deleted. - Reproduce with `pnpm test:e2e:runner -- --id task-titles.runner-codex-mini.local.prompt-title-standard --id task-titles.runner-codex-mini.local.prompt-title-ask --id task-titles.runner-codex-mini.local.preserve-explicit-title --max-automatic-retries 0` and an authorized provider key. - Full `pnpm -r typecheck` and `pnpm build` passed on the latest commit. The runner build used the configured external eval source tree. - Product E2E unit suite: **61 files, 818 tests passed**; E2E typecheck and UI token gates passed. - Title API/native regressions cover prompt-only and explicit child creation, user edits, ownership/company isolation, external reference refresh, cross-surface retry replay, and the 64-key limit without receipt eviction. All passed. Prompt-context coverage: **44 tests passed**. - Rust credential regressions: **35 tests passed**, including benign maintenance qualifiers and opaque credential rejection in every declared prose field. Catalog/report reconciliation: **28 tests passed**. Native recovery: **560 tests passed**. - Broad local `pnpm test:run`: **14,555 tests passed** in the general server group; two suites failed to initialize embedded PostgreSQL and the existing 40,000-file Git streaming stress test exceeded its 300-second macOS timeout. All three suites then passed in isolation (**5 tests passed**) without code or timeout changes. The original full local command exited nonzero and is not being represented as a clean full run. - Latest-head GitHub checks are green: **53 passed, 4 skipped, zero failed or pending**, including all test shards and the canary packaging dry run. Greptile reviewed the same commit at **5/5**, with zero unresolved review threads. ## Risks - The additive database field must reach the server and UI together. The migration uses `IF NOT EXISTS` and defaults existing tasks to a final title. - Title generation depends on the assigned agent running. Tasks without a run keep their provisional title. - Live qualification covers the native Codex path in Standard and Ask modes. API/legacy and Plan behavior have deterministic coverage. - The credential-prose exception validates the entire suffix against a closed maintenance vocabulary. Unknown suffixes, assignments, quoted values, credential prefixes, and diagnostics retain strict checks. ## Model Used OpenAI Codex, based on GPT-6, with reasoning, tool use, and code execution. The exact deployment ID and context window are not exposed in this session. The live eval uses the native Codex `gpt-5.4-mini` profile. ## 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> |
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3447609d22 |
fix(runner): stream and page large API responses within capture budgets (#14301)
## Thinking Path
> - Paperclip is the open source app people use to manage AI agents for
work.
> - Agents use governed API tools to inspect task evidence.
> - Large API results become saved assets with short previews.
> - Reading an asset through the same tool used to create another asset,
so the agent could not reach the rest of the evidence.
> - The 10 MiB response cap also blocked useful large results. Removing
all bounds allowed excessive disk use.
> - This pull request streams responses up to 1 GiB and makes saved text
readable in bounded pages. It adds durable run budgets and capture
admission limits.
> - Agents can inspect complete evidence while tool results, memory use,
and capture work stay bounded.
## Linked Issues or Issue Description
**What happened?**
A large response became an asset. Reading that asset returned another
asset and the same preview. Responses above 10 MiB failed before the
agent could read any page.
**Expected behavior**
The agent can fetch a large response and read its saved text to EOF.
Each page stays bounded. New snapshots have a generous finite limit and
a durable run budget. Existing larger assets remain readable through
byte ranges.
**Steps to reproduce**
1. Call a GET operation that returns more than 10 MiB of text or JSON.
2. Before the fix, the tool returns `api_transport_failure`.
3. With this change, responses up to 1 GiB become streamed snapshots
with artifact references.
4. Read `GET /api/assets/{assetId}/content` with `responseText:
{offsetBytes: 0, limitBytes: 8192}`. Follow `nextOffsetBytes` until
null.
Related work: #14186 added the API fallback tools. #14218 bounded API
discovery.
## What Changed
- Add authenticated UTF-8 text windows to `call_api`, with byte offsets
and total size. Keep each page at or below 24 KiB.
- Stream new responses above 24 KiB through private temporary files into
company-owned assets. Bound each capture to 1 GiB of decoded bytes.
Reject oversized declared lengths before reading and count streamed
bytes before writing.
- Reserve capture budget in the run record before spilling. Allow 4 GiB
per run. Settle successful captures to their actual size. Failed or
interrupted captures retain their full 1 GiB reservation. Run restarts
do not reset the budget.
- Enforce a 20 GiB company snapshot quota with database reservations.
Count legacy snapshots and unfinished storage work across runs and
processes. Asset deletion frees quota.
- Limit large captures to two per company and four per server process.
Hold slots through storage upload and temporary-file cleanup. Use a
10-minute download deadline and 30-second connection/idle-read timeouts.
- Return explicit size, budget, busy, and timeout errors. Preserve
unknown outcomes for mutations whose response cannot be captured.
- Read saved assets through authenticated storage ranges, with at most
two extra bytes for UTF-8 and EOF handling. Unpaged reads return the
existing asset and digest with a bounded preview. Reads create no copies
and do not consume capture budget.
- Keep existing assets above 1 GiB readable in pages. Use safe integer
offsets and PostgreSQL `bigint` asset sizes.
- Stream large S3 uploads through ordered multipart requests. Abort
failed uploads and remove partial local files.
- Revalidate run authority during downloads. Keep company authorization,
GET-only text paging, redirect denial, and mutation replay receipts.
- Document the separate 10 MiB upload limits. This PR does not raise
memory-buffered attachment ingestion limits. Future large video uploads
need streamed ingestion and storage quotas.
## Verification
- Full workspace `pnpm -r typecheck` and `pnpm build` pass after
rebasing on master.
- Focused API and response tests: 1,761 pass. Cover declared and chunked
oversize responses, incorrect Content-Length, exact-limit success,
active-stream deadline, cancellation, cleanup, concurrency admission,
and mutation outcome handling.
- Real HTTP integration: 28 tests pass, including runnerd → PRP →
authority → HTTP, a 12 MiB snapshot, final-page/EOF reads, cross-company
denial, a persisted 3 GiB sparse asset, and large mutation receipt
replay.
- The HTTP suite verifies durable run-budget accounting, simultaneous
runs competing for company quota, legacy snapshot accounting, deletion
refunds, failed-storage reservations, cleaned-failure refunds,
metadata-rollback cleanup refunds, preservation after a lost commit
acknowledgement, and small/saved reads after capture-budget exhaustion.
- A standalone proof streams exactly 1 GiB through the production
capture helper, verifies the final bytes, and removes its temporary
file. It uses repeated 256 KiB chunks and records a peak process RSS of
191 MiB.
- Earlier storage verification covers exact S3 multipart boundaries,
cleanup/abort failures, and a 17 MiB transfer through the real AWS SDK
to a local HTTP S3 endpoint. No cloud S3 qualification was run for this
follow-up.
- The local full test run was interrupted for the company-quota changes.
A later targeted run hit exhausted macOS shared-memory slots before
tests started; two unattached PostgreSQL segments with dead owners were
reclaimed before retrying. All 55 current-head checks pass at
`aebb80ceeeee77d5a56b67bfffd835f2f846878c`, including the full CI test
suite, typecheck, build, browser suites, security scan, and Greptile
(5/5). There are no unresolved review threads. The combined rebased test
catalog also passes (48 tests).
- Earlier paging acceptance passed Daytona and separate staging at
`7739879e9`. Those runs predate the streaming and budget changes.
## Risks
- The 1 GiB response cap and 10-minute active-download deadline are
intentional product limits. Larger live results must use endpoint
pagination or a direct file workflow. Existing larger assets remain
readable through bounded ranges.
- A durable 20 GiB company snapshot quota counts stored runner-api
assets and active/orphan reservations across runs and processes. The
operator can set PAPERCLIP_RUNNER_API_COMPANY_CAPTURE_MAX_BYTES to a
finite value of at least 1 GiB. Deleting snapshots frees capacity;
possible orphan storage must be reconciled before releasing its
reservation.
- A failed capture uses its full reservation. A new large capture needs
a full 1 GiB available, even if it later completes at a smaller size.
Small reads and existing asset pages remain available.
- Concurrency limits apply per server process. The run byte budget is
shared through the database.
- The `integer` to `bigint` migration rewrites asset metadata and takes
an exclusive table lock. File bytes stay in storage.
- A live endpoint is fetched once before returning its snapshot.
Continue reading the saved artifact for stable pages. Mutations may
commit before any size or transport error; inspect state before
retrying.
- Attachment uploads and native file handoffs still default to 10 MiB.
Raising buffered ingestion paths to GiB sizes is separate work.
## Model Used
OpenAI Codex, based on GPT-6, with code execution and repository tools.
The runtime does not expose an exact serving model variant or
context-window size. The earlier paging work also used browser testing
and subagents.
## 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>
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7944ed3d97 |
fix(runner): preserve hire runtime safety and first-activity timing (#13852)
## Thinking Path > - Paperclip is the open source control plane for companies of AI agents. > - Native runner agents need governed tools, durable runtime state, and useful execution evidence. > - A first activity trace waited 53.467 seconds even though tool activity took 6.274 seconds; provider input arrived before the server API call executed. > - Native agents also need a safe way to hire teammates without asking the model to rebuild runtime configuration. > - This pull request separates the observed ACP input-stream window from the actual server `tool.execute` span and adds a server-owned native hire contract. > - The benefit is clearer latency evidence and safer native teammates with existing approval, auth, and company boundaries preserved. ## Linked Issues or Issue Description Related Daytona provenance work is in [#13814](https://github.com/paperclipai/paperclip/pull/13814). No duplicate public PR was found for this combined timing and native-hire change. **What existing behavior does this improve?** Native runner agents can use governed tools and request hires. The server did not expose a safe native hire operation that reused the caller's validated runtime settings. First-activity traces also mixed provider input timing with server tool execution timing. **Current behavior** A native hire must construct a separate runner configuration. Full configuration copying could expose paths, instructions, secrets, or sessions. Timing evidence could make a provider or MCP identity join appear proven when the trace did not contain that join. **Proposed behavior** The native `hire_agent` operation accepts identity and persona inputs. The server sends `adapterType: "paperclip_runner"` with `inheritRuntimeFrom: "caller"`, then copies only validated provider, model, permission, lifecycle, and bounded execution settings. It inherits and validates the default environment, derives the managed AI binding through existing normalization, preserves approval and permissions, and creates fresh child instructions. Caller secrets, paths, prompts, and sessions are excluded. Provider events now include the optional boolean `inputUpdated`, with Rust forwarding support. Timing evidence separately records the ACP input-stream window and the actual server `tool.execute` activity. It does not claim a provider or MCP join without matching evidence. **Reason and benefit** Native agents can hire teammates that start with the caller's approved execution policy. Operators retain company boundaries, auth rules, approval gates, and requalification. Reviewers can distinguish provider streaming time from server API execution time when diagnosing first-activity delays. **Breaking changes** None for existing hires or tool calls. `inheritRuntimeFrom` is optional and only applies to same-company native agent callers. Conflicting explicit runtime settings are rejected. The provider event field is optional for existing producers. ## What Changed - Added the native `hire_agent` protocol action, catalog entry, API contract, and runner authority checks. - Added `inheritRuntimeFrom: "caller"` validation and a closed native runtime inheritance allowlist. - Preserved managed AI binding normalization, default-environment validation, approval snapshots, permissions, requalification, and fresh child instructions. - Added provider `inputUpdated` schema support and Rust forwarding. - Added first-activity and server tool timing evidence with conservative identity-join handling. - Added route, authority, provider-event, sidecar, API, catalog, and Rust-focused tests. - Kept private Honeycomb links, raw traces, and local result paths out of this description. ## Verification Focused checks passed: - 458 timing/session checks. - 61 native hire inheritance checks. - 20 hire authority checks. - 1,741 API checks. - 106 catalog checks. - 54 provider sidecar checks. - 12 Rust provider checks. Live R2 and R3 each passed 45 checks across 6 runs (361,135 ms for R2). R1 stopped at missing Docker image setup. The final trace is available at https://ui.honeycomb.io/paperclip/environments/test/datasets/paperclip/result/BiMypLNvmiB?tab=traces. Latest-head CI passed all required build, typecheck, Rust, static, Vitest, serialized-server, workspace, chat, and E2E jobs. The focused local checks listed above passed; the broad local suite was not run before the live evaluation, while CI provides the full repository verification. ## Risks - Timing fields describe separate observed windows. They do not prove a provider or MCP owner without a valid trace join. - The inheritance allowlist must stay synchronized with native runner configuration fields. - Approval snapshots include resolved safe inherited settings and should be reviewed when native configuration fields change. - The focused local suite is narrower than the full repository suite; latest-head CI covers the broader repository checks. > Roadmap review: `ROADMAP.md` places this work within Paperclip's bring-your-own-agent direction. It extends existing native runner hiring and observability behavior. ## Model Used OpenAI GPT-6 (exact serving model ID is not exposed), with extended reasoning and repository tool use; GPT-5.6 Luna assisted with focused implementation and verification work. ## 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 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> |
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0f5fafe16b |
fix(runner): preserve task replies and warm process continuity (#13738)
## Thinking Path > - Paperclip lets people manage AI agents and their work. > - The Runner connects provider sessions to task state, replies, and delegated work. > - Full-stack tests found lost final replies, rejected helper calls that stopped the parent, and unnecessary process restarts. > - A completed child could also receive a new assignment wake that the scheduler then cancelled. > - This change fixes those boundaries and gives agents clearer teammate instructions. > - The tests retain strict completion and process-continuity requirements. ## Linked Issues or Issue Description **What happened?** A generated attachment comment could suppress an agent's final reply. A known Codex helper could stop its parent when it requested a Paperclip tool. Native Daytona processes restarted between turns because Paperclip minted an unused GitHub broker token. Reassigning a completed child queued a run that immediately cancelled. Revision instructions also allowed agents to do work assigned to a named teammate themselves. **Expected behavior** Keep the final reply. Reject helper tool requests without borrowing parent authority or stopping the parent. Keep an unconfigured sandbox process alive between turns. Treat assignment-only changes to completed tasks as metadata changes. Preserve explicit teammate assignments during revisions. **Steps to reproduce** Run the retained Runner E2E cases for file handoff, teammate reuse, Daytona warm continuity, and Legacy Claude interview/plan acceptance. The focused regression tests reproduce the reply, helper, process-lifetime, and assignment-wake defects without provider calls. **Paperclip version or commit** The live lifetime and completion campaign used `db3857807`. This PR replays the changes on master `c65fc9e3c`. See Verification for the limits of that evidence. **Deployment mode** Isolated local instances and native Runner sessions in Daytona sandboxes. Related work: #13546 handles a different queued-run issue after an issue-lock compare-and-set failure. This PR prevents the unnecessary assignment wake earlier. #13410 covers retained user services; this PR covers the provider process. No duplicate fix was found. ## What Changed - Exclude generated deliverable-binding comments from final-reply deduplication. Preserve the attachment and explicit user-facing replies. - Reject Paperclip tool and input requests from known Codex helper threads without terminating the parent. Keep unknown-thread rejection intact. - Explain how to hire or reuse a persistent teammate and preserve named delegation on revisions. Update generated protocol fixtures. - Use stable, token-free GitHub wrappers for unconfigured native sandboxes. Preserve credential isolation, configured-account rotation, and cleanup after partial staging failures. - Do not queue assignment-only wakes for done or cancelled tasks. Keep explicit reopening behavior. - Make warm-continuity fixtures create real review cards. Read the persisted final response selected by production presentation logic. Missing selected evidence still fails. ## Verification - Before rebase: 560 focused route, native-executor, and launcher tests passed. The new regressions were reproduced before their fixes. - Live E2E: Legacy Claude interview/plan acceptance passed 3/3 repetitions. Daytona warm continuity passed 2/3 full repetitions. Each successful run retained one process and provider session for all three turns. - The remaining Daytona repetition stopped after a same-URL browser reload left the page blank. Both completed turns retained the same process. Its failed verdict remains unchanged; this PR does not claim the blank-page cause is fixed. - Reports: https://pages.paperclip.ing/runner-e2e-lifetime-race-20260920/investigation.html and https://pages.paperclip.ing/runner-e2e-behavior-followups-20260919-results/investigation.html - Post-rebase `pnpm build` and `pnpm -r typecheck` passed. All 414 Runner E2E harness unit tests and its typecheck passed. Codex protocol tests: 88 passed, 2 ignored. - Latest-head CI: 55 successful checks and 2 intentional skips. Greptile: 5/5 with no review threads. The unchanged workspace exposure tests hit a fixed-port collision on the first CI attempt; their local suite passed (25 tests, 3 platform skips), and the CI shard passed on one retry. - The duplicate local `pnpm test:run` was stopped after the full hosted general and serialized test shards passed. It did not finish locally and is not counted as a local full-suite pass. ## Risks Configured GitHub accounts retain run-scoped credential rotation and can still restart warm processes. That limitation requires a separate design. Known provider helpers cannot use Paperclip coordination tools directly; they must return findings to the parent. The delegation prompt is an instruction, not an enforced guarantee; Codex Mini hiring/reuse failures remain open. No schema or workflow changes are included. ## Model Used OpenAI GPT-6 through Codex, with repository tools, code execution, and parallel coding agents. The exact deployment suffix 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 issues and shared reports) - [x] My branch name describes the change and contains no internal Paperclip ticket id or instance-derived details - [x] I have run focused tests locally and they pass; full hosted test shards also 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> |
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7bc03e0acd |
feat(runner): default harnesses to full auto and support task reassignment (#13686)
## Thinking Path > - Paperclip lets people manage AI agents and their work. > - Agent Chat uses native runners to save plans and coordinate tasks. > - Provider defaults differed across harnesses and could stop unattended work at a second permission gate. > - Agents also lacked a dedicated tool to move existing work to another agent safely. > - This change defaults native providers to full automatic permission for provider tools and connected tools. > - A guarded reassignment tool preserves task identity, stops the previous run, and schedules the new owner once. > - Codex and Claude chat acceptance tests now use production permission defaults. ## Linked Issues or Issue Description **Subsystem affected** Native runner, ACPX Claude permission policy, task authority, and Agent Chat acceptance tests. **Problem or motivation** A user can authorize an agent to save a plan or create a task, but Claude's default provider gate can still stop that action. Reassignment needs a dedicated operation that preserves context and avoids concurrent owners or unintended recovery runs. **Proposed solution** Default Claude/ACPX to `approve-all`, OpenCode to `allow`, and Codex to `never`. Apply the defaults at configuration, execution, fresh-session, resume, driver, and proxy boundaries. Keep explicit permission settings and server-side company, claim, task-mode, and approval checks. Add `reassign_task` with version checks, durable idempotency, audited cancellation, and guarded successor scheduling. **Alternatives considered** A Paperclip-only allowlist still blocks provider tools and other connections during unattended work. Full automatic permission is the requested product default. Recreating a task discards its identity and history. Updating assignment without stopping the previous run can leave two agents working on the same task. **Roadmap alignment** This extends the existing planning, delegated work, governed tool access, and recovery features. It adds no new service or schema migration. Recent related tasks and open PRs were checked for duplicate work. **Additional context** Related: #13678 (Agent Chat tools and recovery), #13677 (remote runner startup). The stacked legacy-adapter companion is #13693. This also fixes the deployed-server artifact fallback needed to stage the current runner binary. ## What Changed - Default Claude/ACPX to `approve-all`, OpenCode to `allow`, and Codex to `never`, including missing settings at direct driver and proxy entry points. These defaults cover provider tools and connected tools. Preserve explicitly configured restrictive modes. - Include assigned approval reads using canonical side-effect classifications, so verifying a recorded approval does not trigger another provider gate. Paperclip approval decisions still enforce controller authority. - Carry the new permission mode through server configuration, execution contracts, recovery identity, TypeScript, and Rust. Keep `approve-paperclip` as an optional restricted mode, with exact SDK rules and closed unknown requests. It is not a default. - Add `reassign_task` to the semantic catalog, controller, mock authority, and generated contracts. - Guard reassignment with company authorization, expected owner and version, protected-state checks, and durable retry receipts. - Honor explicit backlog task creation atomically with the initial plan, without scheduling a wake. Preserve backlog holds regardless of dependency readiness. - Stop active work before changing ownership. Restore the prior owner through a guarded, idempotent wake if final handoff validation fails. Keep intentional reassignment stops out of failure recovery. Preserve backlog and blocked states without waking them early. - Add authorization, concurrency, replay, stop, and permission boundary regressions. Add Codex and Claude chat reassignment cases and run native chat cases with production defaults. - Clarify shared runner guidance: save plans and Paperclip documents directly with `write_document`; create and register a local file only when a downloadable file is requested. - Document provider defaults and the operator choices for existing agents. ## Verification - Current head `d82fbb0f03546d27cecf072250e4172e0b1ee662`: **55 checks passed**, with two intentional skips. [PR checks](https://github.com/paperclipai/paperclip/pull/13686/checks). - Greptile reviewed that exact head at **5/5**. The security reviewer acknowledged the intended full-auto default, and the acknowledged discussions are resolved. - Full workspace `pnpm -r typecheck` and `pnpm build` passed locally after rebasing onto current master. Targeted adapter/server, runner, API, default/resume, and heartbeat configuration tests passed. - **All six real-provider acceptance cases passed on their first attempt, with cleanup passing:** plan handoff, task reassignment, and backlog creation/status, each on native Claude and Codex. Evidence records Claude's effective `approve-all` mode. [Campaign and downloadable evidence](https://github.com/paperclipai/paperclip/actions/runs/35469926548). - The live campaign tested combined revision `a37881c824dcd7170380fc4b788732fc743e5da7`. The final PR heads add only a heartbeat test expectation correction; application code is unchanged from that live-tested revision. - The campaign's result-enforcement job passed. Its separate report publisher failed because the trusted workflow's `patchedDependencies` configuration differs from its frozen lockfile. All six results and screenshots remain available as GitHub artifacts. The overall manual workflow is red for this publishing failure. - Full-suite coverage is supplied by the passing CI partitions. The separate unsharded local run was stopped after the corresponding CI partitions passed; it is not counted as a completed local run. - Reassignment tests cover stale state, cross-company access, denied authority, cancellation failure, compensating wake, and idempotent retries. Backlog tests verify the original creation audit, saved plan, exact task count, and absence of task-bound runs. ## Risks - Agents with no explicit permission mode now receive full provider tool permission, including connected tools. This is a deliberate broad default. Existing explicit restrictive modes still apply. Controller authorization, company isolation, workspace boundaries, and Paperclip governance remain in force. - Reassignment crosses run cancellation and task ownership transactions. Durable stop intent, revalidation, audit receipts, and guarded queue dispatch cover interruptions and retries. - The new permission enum requires a current runner artifact. The remote artifact fallback uses the same resolved controller binary for upload and execution. - Live provider behavior remains subject to the selected model. Targeted live results do not qualify the full catalog. ## Model Used OpenAI Codex, based on GPT-6, with code execution and repository tools. The exact deployment model ID 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 - [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> |
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36dbb7ed1c |
fix: harden agent chat runner tools and recovery (#13678)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Agent Chat turns discussion into plans, tasks, reviews, and hires. > - These workflows need reliable tool results and task context on the native runner. > - Live Claude and Codex tests exposed lost retry requests, invalid project inputs, and a child startup crash. > - Recovery also exposed a misleading retry action and missing child task context. > - This pull request fixes those paths and adds regression coverage. > - Agents can continue the original request and operators can inspect a stopped run. ## Linked Issues or Issue Description **What happened?** A failed Agent Chat retry could lose the user's question. Project creation accepted unsupported icons in its tool schema. Codex could stop when a helper's MCP startup event arrived before its thread lineage. A stopped task offered Retry even when the server required execution reconciliation. Resumed agents could miss existing delegated tasks. Hiring and review instructions did not describe the native runner's available tools and source requirements. **Expected behavior** Retries retain the selected request. Tool schemas match the API. Child startup information does not gain authority over the parent or stop it. Recovery actions match the server's requirements. Task context exposes existing child work. Handoffs contain the material the assignee needs. **Steps to reproduce** 1. Enable experimental Agent Chat in an isolated development instance. 2. Configure native Codex and ACPX Claude agents on Paperclip Runner. 3. Ask for a plan, revise it, approve task creation, and request a hire and status report. 4. Retry a failed chat turn and check that it answers the original request. 5. Start a Codex helper before its thread lineage arrives. 6. Resume a delegated task and inspect its existing children and saved output. **Paperclip version or commit** The live failures were found at `f2c5e54dc`. This branch is rebased onto `86b7ee992`. **Deployment mode** Isolated local development instance with native Codex and ACPX Claude. No database migration or default permission change. Related work: Refs #13284 for Agent Chat. Refs #13438 for the server-side API receipt fix, which this branch preserves. The transport also accepts the earlier HTTP receipt format. Refs #13655 for the current Codex continuation and helper lineage handling, which this branch also preserves. ## What Changed - Preserve failed Agent Chat wake-comment IDs and session generation from the authorized source run. Reject pre-reset retries. - Wrap API receipts with the correct semantic call identity. Test current and earlier receipt formats through real HTTP and runnerd. - Classify early child MCP startup notifications as information. Keep foreign completion and result events rejected. - Constrain project icons on both tool surfaces and regenerate the protocol contracts. - Include bounded, company-scoped visible direct child tasks in task context. Filter hidden tasks before applying the limit. - Replace the rejected Retry action with Inspect run for native continuation reconciliation. - Update hiring, review handoff, status reporting, and development guidance. ## Verification - Live tests covered Claude and Codex questions, plan revisions, approval, task creation, hiring, status, chat reset, failures, and recovery. - The recovered task produced its saved checklist and example. A later follow-up read the existing child tasks and document without creating more work. - Full build, repository type checks, token gates, 142 focused tests, 188 runner TypeScript tests, and the Rust notification/descendant regressions passed after rebase. The separate local full-suite run was stopped after the complete CI suite passed. - Review fixes passed the updated route, tool-authority, and icon regression tests plus server type checking. - Required commands: `pnpm build`, `pnpm -r typecheck`, `PAPERCLIP_IN_WORKTREE=false pnpm test:run`, and `pnpm check:token-gates`. - At `4ce8047b0`, all 55 applicable GitHub checks pass (two Storybook checks are intentionally skipped), including the complete general/serialized test matrix, runner tests, browser tests, build, type checks, Docker checks, and canary dry run. - Fresh Greptile review is 5/5 on `4ce8047b0`; all three findings were fixed with regressions and there are no unresolved review threads. - Two initial CI service-startup timeouts passed unchanged in local reproductions and in the latest CI run. ## Risks - The new event classification is limited to MCP startup information. It does not authorize foreign task completion, results, or tool requests. - Task context returns at most 100 direct child tasks and reports truncation. It excludes hidden tasks and other companies. This improves delegation context but does not enforce semantic duplicate detection. - Native reconciliation still requires an operator to inspect and record prior outcomes. The new link does not replace the recovery API. - API tools remain opt-in. Claude permission choices remain explicit. No default permission, schema, or workflow changes. ## Model Used OpenAI GPT-6 in Codex, with reasoning, repository editing, code execution, API tools, and browser testing. The exact deployment identifier and context-window size are not exposed in this session. Live acceptance agents used OpenAI `gpt-5.6-sol` and Anthropic `claude-sonnet-4-6`. ## 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> |
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43acbcc398 |
fix(runner): preserve sessions and complete question and approval continuations (#13655)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - The native runner connects task state to provider sessions. > - Follow-up turns must retain provider memory and carry new user direction. > - Lost session IDs caused repeated context and extra input tokens. > - Native question answers and approval races could leave valid work blocked. > - This pull request repairs those paths and adds regression coverage. > - Agents can continue accepted work without repeating the conversation or losing the user's answer. ## Linked Issues or Issue Description Refs #13574. That merged PR shortened continuation prompts and moved question instructions into tool documentation. This change preserves sessions and fixes failures exposed by broader testing. Related runtime work: #13408 and #13410. **What happened?** Native follow-up turns could lose the provider session ID. Completion guidance could replace the original task with its latest comment. Claude native questions could remain pending after the user answered. Approval during a running tool call could suspend the run before the tool response arrived. Onboarding and chat handoff instructions also caused repeated planning or missing plan documents. **Expected behavior** Reuse a valid provider session. Send only new events when that session already has the history. Preserve the task requirements and apply later user direction. Store the question answer and deliver it to the waiting run. Finish governed tool responses before suspending. Execute the accepted plan without asking for the same approval again. **Steps to reproduce** Run the continuation, local-session-integrity, first-task, and agent-chat suites with native Codex and Claude. Include provider-question-bridge, accept-while-running, and plan-handoff. **Paperclip version or commit** This branch is based on master |
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9fd2e50310 |
feat: create company skills from runner tasks (#13538)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - The Runner gives agents tools to change company resources. > - Users need agents to save reusable skills during a task. > - A saved skill needs a visible result that users can inspect and edit. > - This pull request adds `create_skill` and a task feed card linked to Skill Studio. > - Users can open the saved skill from the task and edit the same resource. ## Linked Issues or Issue Description **Subsystem affected** Runner tools, company skill storage, task feed, and Skill Studio. **Problem or motivation** The Runner has no dedicated tool to create a company skill. A user cannot follow a creation result from the task feed to the saved skill. **Proposed solution** Add a company-scoped `create_skill` tool. Save the skill with the existing company policy. Add one creation card to the task. Open a named sidebar tab from that card. Let the user open the same skill in Skill Studio. **Alternatives considered** An agent can write a local file, but that file is not a company skill. A second document copy in the task would become stale after a Studio edit. The sidebar therefore reads the saved skill directly. **Roadmap alignment** This extends the shipped Skills Manager, Skill Studio, and Skills Store milestone. The maintainer requested and approved this scope. Search found no duplicate `create_skill` PR or issue. Related UI validation work: #8715. This PR does not change that validation display. ## What Changed - Add the real Runner tool, its contract, and its mock implementation. - Validate the complete SKILL.md and derive company, task, agent, and run identity from authentication. - Apply the existing company skill policy. Do not assign the skill to an agent. - Make keyed retries return one skill and one creation event. Reject conflicting retries. - Make concurrent file creation safe. Never replace an existing published skill during creation. - Add a creation card, a named sidebar tab, and an Open in Skill Studio action. - Show saved Studio edits when the user returns to the task. - Add storage, policy, mode, retry, UI, and Product E2E tests. Document the tool. - Fix deleted-name reuse, onboarding panel persistence, immediate feed refresh, and mock validation parity from review. - Serialize Studio file edits and renames with skill deletion and recreation. Reject stale editor requests before they can change a replacement skill. - Generate the standalone mock parser and validator from the production contract. Use portable UUIDs so the browser scenario bundle builds. ## Verification - All latest-head PR checks pass on `145dd76a5`, including all server shards, browser E2E, Runner verification, build, typecheck, and release dry run. Greptile: 5/5 with no open findings. An interrupted CI runner was retried successfully. - `pnpm -r typecheck`: passed. - `pnpm build`: passed. - `pnpm check:token-gates`: passed. - Review regressions: 73 storage tests, 6 real API tests, 63 UI tests, and 61 semantic runtime tests passed. Parser synchronization passed. - CI exposed existing fire-and-forget Sentry test races. Reproduced the resumption race locally, then synchronized the related sweep and finalizer assertions on the actual report; all 27 tests across the three affected files pass. - Runner scenario browser build and strict content-security-policy check: passed. - Runner suite: 2,012 tests passed; 10 skipped. - `pnpm test:run`: the general-server batch had 12,416 passes and two failures. The old tool-count assertion was fixed; all 16 authority tests then passed. The chat webhook test had a socket error; it passed four isolated reruns. - Both workspace test groups passed. The isolated route suites completed. Two socket failures in the initial route batches passed on individual reruns; all remaining 61 files passed. - Product E2E `create-skill-studio`: passed with local Codex and local ACPX Claude. - Manual browser test: submit a task, observe the real tool call and creation card, open the sidebar, edit in Studio, save, and return. The task reached Done. The saved second revision and sidebar tab survived a server restart. - The new companion headless Runner Eval passed. Companion coverage PR: https://github.com/paperclipai/paperclip-evals/pull/23. Daytona was not run because no immutable runner image was configured. ## Risks - Database writes and local file writes cannot share one transaction. Recovery accepts only an exact file-for-file retry after a database rollback. Conflicting files remain untouched. - The sidebar displays the current skill. The feed card remains the historical creation receipt. - No database migration, dependency, or workflow change is included. - Remote Daytona behavior still needs a run with a configured immutable image. ## Model Used OpenAI GPT-6 (`gpt-6-astra`) handled design, integration, review, and browser verification. OpenAI `gpt-5.6-luna` assisted with bounded implementation and eval work. Both used code execution and tool access. The host did not expose the context window size. ## 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> |
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ab15aff390 |
feat: add experimental persistent agent chat (#13284)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Conversations must use the same tasks, controls, and execution history. > - Users need an ongoing chat with an agent without managing task properties. > - Agents should clarify and plan work, then hand execution to assigned project tasks. > - This pull request combines the reviewed Agent Chat stack for one squash merge. > - The benefit is persistent conversation with normal task governance and shared UI. ## Linked Issues or Issue Description **Subsystem affected** Task lifecycle, agent runtime tools, shared task UI, and browser/paid runner tests. **Problem or motivation** Users need one persistent conversation with each agent. A separate chat store or renderer would duplicate task behavior and bypass existing controls. **Proposed solution** Use a task-backed chat per company, user, and agent. Reuse the task composer and transcript. Clarify and plan in chat, then create assigned project tasks with the relevant plan. Keep Agent Chat behind its own disabled-by-default experimental setting. **Roadmap alignment** This implements the task-backed direction in [CEO Chat](https://github.com/paperclipai/paperclip/blob/master/ROADMAP.md#-ceo-chat). Related proposals: #2504 and #9693. Related request: #7981. The maintainer requested one squash merge of the complete stack. Consolidates the reviewed runtime [#13281](https://github.com/paperclipai/paperclip/pull/13281), backend [#13282](https://github.com/paperclipai/paperclip/pull/13282), and UI [#13283](https://github.com/paperclipai/paperclip/pull/13283) layers with this PR's E2E coverage. All four layers passed CI and received Greptile 5/5 before consolidation. This PR targets master and includes the complete feature. ## What Changed - Add personal canonical chat tasks with ordinary company visibility, immutable identity, idempotent first sends, and an idle waiting state. - Process `/new` in queue order. Preserve history, release a chat pause, and fence old provider context and delayed writes. - Keep chat lifecycle rules across recovery, finalization, assignment, task lists, and rollups. - Support research and plan revision in chat. Hand plans to ordinary assigned project tasks before execution starts. Reject new chat subtasks. - Add repository-aware project creation and discovery tools, including multiple repository IDs and GitHub URLs, authorization, idempotency, and durable project-created cards. - Reuse task UI components for chat, with starred/recent agent navigation and a separate `enableAgentChat` experimental flag. - Add deterministic browser tests and 24 paid chat cells across four Codex/Claude profiles, with validated reports and screenshots. - Integrate current master recovery, controller lease, queued-message, and task UI changes. Gate chat interruption and deferred promotion on ownership/feature policy. Guarantee lease renewal and active controls are stopped even if teardown fails. - Preserve master's migration 0273 and generate chat migration 0274 with idempotent replay for development databases. ## Verification - Prior exact heads of all four PRs passed Linux CI, including build, typecheck, general/serialized tests, and browser E2E. Each had Greptile 5/5 and no unresolved findings. - Integrated local verification passed: full repository typecheck and production build, Storybook build, token gates, 340 focused UI tests, all 20 deterministic chat browser tests, two migration replay tests, 88 focused chat/queue/native/controller tests, and provider/session regressions including real lease expiry. These include the three lifecycle regressions for the final admission/teardown fixes; server typecheck also passes. Current head `1268eda16cc2af892055917e7292f068820be135` has Greptile 5/5 with no unresolved findings and passing security scans. All final-head CI gates passed: build, full Runner verification, typecheck/release registry, canary, all general/serialized test shards, and all browser E2E shards ([CI run](https://github.com/paperclipai/paperclip/actions/runs/34696739927)). Local PostgreSQL startup contention required serialized retries; skipped fixtures do not count as passing coverage. - The earlier paid campaign passed all 24 chat cells and retained 32 screenshots: [report](https://d1p6rlowie26tp.cloudfront.net/runner-e2e/campaigns/gha-34648511170-1/index.html?report=agent-chat#suite-agent-chat). It tested `abacbdfd2f660709ec37312cdb758284c8399d04`; it is prior evidence, not a paid run of this integrated head. - Manual check: enable Agent Chat in Experimental settings, open an agent, clarify and revise a plan, then hand off to an assigned project task. Stop a reply, send `/new`, and verify fresh context with retained history. Disable the setting and verify agent shortcuts/new chat turns are blocked. ## Risks - Queue/session integration can affect retries and delayed writes. Tests cover ownership, cancellation, reset boundaries, idle recovery, and ordinary task behavior. - Migration 0274 adds conversation fields and constraints. Replay is idempotent and preserves existing development chat history. - This combines the previously reviewed stack at the maintainer's request. Agent Chat remains off by default and is separate from Conference Room. ## Model Used OpenAI Codex, GPT-6 Astra (`gpt-6-astra`), with reasoning, code execution, browser tools, and parallel review. The exact context-window size is not exposed in this session. Codex and Claude also ran as test subjects in the linked paid campaign. ## 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> |
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5bddff0920 |
feat(runner): add guarded API search and call fallback (#13003)
## Thinking Path > - Paperclip manages AI agents and their work. > - The new runner gives agents dedicated tools for common tasks. > - Some API operations and parameters have no dedicated tool. > - Agents need a controlled way to find and use those operations. > - This pull request adds API search and calls through the real server routes. > - Existing tools remain the preferred path. The new tools are disabled by default. > - Paired tests measure correctness, tool choice, cost and time. ## Linked Issues or Issue Description **Subsystem affected** Paperclip Runner contracts, production tool authority and the server API catalog. **Problem or motivation** The runner cannot use much of the API described by the old Paperclip skill. A generic HTTP client would also let agents bypass runner control rules. **Proposed solution** Add `search_api` and `call_api`. Resolve calls from the mounted API catalog. Use server-held, run-bound credentials. Preserve route checks and runner lifecycle rules. Keep the tools disabled until an operator enables selected companies. **Alternatives considered** A dedicated tool for every endpoint would add a large initial prompt. An unrestricted HTTP tool would weaken authorization and replay controls. **Roadmap alignment** This extends the native runner tooling. The repository owner requested this design and implementation. The roadmap and related open PRs were checked. No duplicate API escape-hatch PR was found. ## What Changed - Register two compact fallback tools in canonical contracts and provider projections. - Build deterministic API discovery from OpenAPI, mounted experimental routes and the old skill reference. - Execute bounded JSON, text, file and download requests through authenticated HTTP routes. - Recheck active runs, company access and work modes. Block runner lifecycle, scheduling, credential and approval bypasses. Keep routine annotation collaboration available. - Retain mutation receipts. Report uncertain outcomes without blindly repeating writes. - Add a company rollout gate and a durable eval worker with complete cost accounting checks. - Record child-task creation in the activity log with the agent and run. - Add contract, authorization, file, replay and real runnerd/PRP/HTTP tests. - Document rollout gates and paid coverage limits. The companion eval repository retains immutable attempts and reports. ## Verification - Final app commit `da58370524c3626a744eec20164397c5fb6ba9ef`: all 32 checks passed; the unrelated Storybook visual check was skipped. Greptile 5/5; no unresolved review threads. - Full Linux build and recursive typecheck passed. Repository tests were run by project and serialized shard; all 143 serialized server suites passed. - Runner TypeScript: 1,599 passed, two skipped. Rust release: 451 passing test reports. Conformance and replay parity passed. The required API check passed 837 tests, including runnerd → PRP → authority → real HTTP. - Bindings cannot enable API tools without the explicit deployment flag. Unit and real-authority tests prove the default-off boundary. - The standalone API check builds and stages its own binary. It passed after existing staged and debug binaries were removed from the test container. - UI and CLI tests passed. Initial environment failures (missing jq, Docker overlay file identity, and parallel linker memory pressure) and focused passing reruns are retained. The macOS full runner suite has platform-specific failures; Linux is the qualified full-check platform. - Eval harness: 27 tests passed; existing CI discovery ran 86 tests with two unrelated skips. Credential export rejection is tested against the actual report command. - Luna and OpenRouter Sonnet each passed 60 common-workflow runs: ten workflows, three repetitions per arm, zero unnecessary API fallback. - Sonnet passed 11 selected capability/contract cases after fixes. Gemini passed three smoke cases. DeepSeek exceeded the 120-second limit and remains unqualified. - Luna's two cost flags received focused follow-up. The original flags and a later n=1 latency flag remain visible. Sonnet had no cost or latency increase above 20%. - The catalog contains 785 entries; 58 were exercised across all stages. Most operation probes remain unrun and some need additional fixtures. Authored probes do not establish successful coverage. - Total conservative accounted cost: $9.875960. Active paid-campaign time: 88.16/90 minutes. No missing accounting. Later security and harness fixes have provider-free verification; no paid validation is claimed for those revisions. - Inspect the [qualification report](https://github.com/paperclipai/paperclip-evals/blob/codex/seach-call-api-tools/evals/runner-api-tools/reports/2026-09-07-production/READINESS.md) and [verification record](https://github.com/paperclipai/paperclip-evals/blob/codex/seach-call-api-tools/evals/runner-api-tools/reports/2026-09-07-production/verification.json). ## Risks - This is a broad authenticated API surface. Keep the default-off gate until an operator selects initial rollout companies. - Paid coverage is incomplete. Small regression samples do not prove all workflows are unchanged. - A timeout or server failure can follow a committed mutation. The result reports an unknown outcome and requires state inspection. - The new definitions add prompt tokens. The report retains cost flags and cache variation. - No database migration is required. - Repository rules require code-owner approval before merge. Technical CI and automated review are complete. ## Model Used OpenAI Codex based on GPT-6 assisted with code, tests and review. The exact serving model ID and context window are not exposed in this session. It used reasoning, tool calls and code execution. Eval models: `gpt-5.6-luna` with low reasoning, `openrouter/anthropic/claude-sonnet-5`, `openrouter/google/gemini-3.8-flash`, and `openrouter/deepseek/deepseek-v4-flash-0731`. Attempts retain runtime versions, model identity, usage and source provenance. ## 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> |
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23048f1219 |
Add canonical semantic action catalog to Paperclip Runner (#12121)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Paperclip Runner now has a durable PRP transport and a Codex provider bridge. > - Codex must use stable, provider-neutral action contracts before Paperclip can grant run-scoped tool access. > - A catalog must describe actions without granting permission to discover or invoke them. > - Generated inventory must stay synchronized with its TypeScript source. > - This pull request adds the canonical Codex-spine semantic action catalog inside the runner package. > - The benefit is a small review unit for schemas and inventory before authorization and dispatch land. ## Linked Issues or Issue Description **Subsystem affected** Cross-cutting. This pull request extends private runner infrastructure in `packages/paperclip-runner`. **Problem or motivation** The Codex provider bridge has no canonical description of the Paperclip actions that a later authorization layer can project into a run. Independent operation lists can drift in names, claims, task modes, effects, and input bounds. **Proposed solution** Add one immutable v1 catalog for the first 27 Codex-spine actions. Give each action a stable identifier, placement, effect, required claims, supported task modes, and JSON Schema input and output contracts. Generate a deterministic JSON inventory from that source and fail package checks on drift. **Alternatives considered** The combined runner branch contains larger live and scenario catalogs with authorization, bindings, labs, and other providers. That change is too large for this review unit. A generic API escape hatch would also bypass the operation-level boundary, so this catalog excludes it. **Roadmap alignment** This work supports the governed tool access direction in `ROADMAP.md`. It does not add a tool gateway, application binding, server endpoint, or production authorization decision. **Additional context** Refs #12111 and #11962. Pull request #12111 was squash-merged first. This branch starts at the resulting `master` commit. Its delta is 10 files. ## What Changed - Added 27 versioned, provider-neutral semantic action declarations for the Codex spine. - Added bounded JSON Schema input contracts and normalized operation receipt output contracts. - Added placement, effect, claim, mode, and role metadata. - Added a deeply frozen public catalog and an operation lookup helper. - Added a deterministic checked-in JSON inventory and generation commands. - Added a byte-for-byte drift gate to the package build. - Added AJV schema compilation, mutation-bound, forged-field, immutability, inventory, and non-executable-boundary tests. - Exported only the catalog types and declarations from the existing package root. - Documented that catalog membership does not grant discovery, authorization, dispatch, or application binding. - Kept server code, UI code, other providers, scenario-only actions, labs, generic API access, authorization, dispatch, and receipts processing out of this pull request. ## Verification - `pnpm --filter @paperclipai/paperclip-runner check:all` passes. - TypeScript protocol tests pass: 8 Node tests and 49 Vitest tests. - All package Rust tests and conformance and replay parity checks pass. - `pnpm --filter @paperclipai/paperclip-runner check:semantic-action-catalog` passes. - `pnpm -r typecheck` passes. - `pnpm build` passes. - `pnpm check:token-gates` passes. - Prettier and `git diff --check` pass for the changed source and documentation files. - The generated catalog matches its source byte for byte. - The secret scan is clean. - The delta against `master` is 10 files. `pnpm-lock.yaml` is unchanged. - `pnpm test:run` completed locally with 4,692 passing tests, 19 skipped tests, and 24 failures in 8 unchanged server test files. The failures reproduce the established local macOS path-alias, listener, and workspace-runtime baseline. No changed-file test failed. Linux CI remains the repository handoff authority. - The full Linux PR workflow passes, including the aggregate `verify` gate. - Snyk, Socket, Superagent security, and supply-chain checks pass. - Greptile is 5/5 with no actionable comments, recommendations, or follow-ups. - Storybook visual regression skipped by design because this pull request changes no UI file. - Browser and migration tests are not applicable because this pull request changes no server, UI, database, or migration file. ## Risks Production behavior is unchanged because no consumer projects this catalog into a provider run. The main risks are contract drift, unbounded mutation input, forged scope fields, accidental executable authority, and generated inventory drift. Closed input schemas, explicit bounds, a frozen catalog, tests, and the byte drift gate cover these risks. The later authorization layer must still bind every action to the active run and company before discovery or invocation. I checked `ROADMAP.md`. This change is private contract infrastructure for the governed tool access direction. It does not duplicate a shipped or public product surface. ## Model Used OpenAI Codex with GPT-5 was used. The exact serving model ID and context size were not exposed. The model used high reasoning, repository tools, GitHub tools, and local code execution. ## 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 - [ ] 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> |