## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Runner tasks must continue after approval and stop when the user presses Stop. > - Live evals found races at approval delivery and provider startup. > - Browser readiness and CI setup errors also hid the actual task results. > - This pull request fixes those races and the related test infrastructure. > - Regression tests and saved live reports show which cases now pass. ## Linked Issues or Issue Description Companion eval definitions PR: https://github.com/paperclipai/paperclip-evals/pull/25 (AgentCore paused and provider/environment infrastructure). Related: #13741 now supplies the late-startup Stop fence and warm-attachment recovery; this PR retains that fence and extends startup tracking and regression coverage to both native backend paths. #13539 introduced queued approvals during active runs. #13738 fixes child assignment, task replies, and warm process continuity and is already in the base. #13291 concerns automatic continuation of interrupted legacy sandbox runs; this PR fixes native startup cancellation and does not change that recovery policy. **What happened?** An accepted service approval could wait after its source run stopped. Stop could return success before the provider handle existed. Work could then start after Stop, or a cancelled run could be recorded as failed. Some E2E tests also failed on unloaded browser content or irrelevant reply wording. Runner CI could fail before model work because of dependency or sandbox setup. **Expected behavior** Deliver each settled approval once after its source run stops. Do not start work after an acknowledged Stop. Preserve the audited cancellation. Test the intended product behavior with a ready browser and verified runtime dependencies. **Steps to reproduce** 1. Approve a service request while its source run is active. Let the run finish. Check that its result starts one continuation. 2. Delay provider startup. Press Stop before its handle is available. Check cancellation, then submit `/new`. 3. Run the browser, warm-workspace, and Stop-and-redirect cases from the linked report. **Paperclip version or commit** The branch includes master at `9d19f98b5`. The report records the original source for each focused attempt. **Deployment mode** Isolated local development instances and disposable Daytona sandboxes. ## What Changed - Deliver settled tool-action results for the exact company and source run during final cleanup. Keep the existing idempotent receipt and periodic recovery sweep. - Wait for startup to hand off its provider handle before acknowledging Stop. Reject first-turn admission after cancellation. Preserve a matching audited pending or acknowledged cancellation. - Wait for mounted task history and connector controls in browser tests. Record failure evidence. Grade workspace contents and process continuity separately from exact reply wording. Require each warm-turn marker once and in order, allowing surrounding prose. - Stop-and-redirect now checks that the source file exists and work is active before Stop. - Resolve target dependency locks in an uncredentialed CI job. Verify the lock artifact hash. Keep orchestration and publication on the trusted workflow revision. - Materialize the pinned OpenCode executable and configure the exact Codex executable's user-namespace profile before provider credentials are available. - Compress Daytona directory uploads with gzip. Preserve files, executable modes, symlinks, empty directories, and confinement checks. - Classify file-transfer RPC deadlines as infrastructure. Keep unrelated runner RPC failures visible. ## Verification - [Focused live report with screenshots and original attempts](https://pages.paperclip.ing/runner-reliability-20260921/): 14 of 15 selected Product E2E cases pass across the recorded revisions. Claude and Codex Stop → `/new`, Claude service approval, delegation, both hiring/reuse cases, and native Daytona warm continuity pass. - Two credentialed Runner smoke cases pass. These are not full protocol coverage. - E2E harness after the master merge: 429 tests pass. E2E and server TypeScript checks pass. - Daytona plugin: 239 tests pass, 6 skipped. Plugin TypeScript build passes. The compression test fails against the old code and passes with the change. - Runner backend/runtime regression group: 161 tests pass. Cancellation/startup selection: 26 tests pass. Approval delivery: 34 real-database tests pass. - Workflow security: 7 tests pass. Both edited workflows pass actionlint. Runner TypeScript and Rust builds pass. - After merging master, all 389 native executor tests pass, including both native backend paths and late startup after the Stop deadline. - Post-merge `pnpm -r typecheck` and `pnpm build` pass. The monolithic local `pnpm test:run` was interrupted to integrate master and is inconclusive. The [hosted CI test partitions](https://github.com/paperclipai/paperclip/actions/runs/35620461738) pass on `50a3e43822bcba1e0d07b1b45b0be91cbf9312da`. An unchanged sandbox callback schema test initially received HTTP 503. It passed five isolated local runs, its full local test file, and one failed-job CI retry. No assertion was weakened. ## Risks - Stop can wait for the bounded startup handoff. If it cannot settle, the existing pending-recovery state remains instead of a false acknowledgement. - Immediate approval delivery must remain idempotent across cleanup and recovery sweeps. Tests cover duplicate delivery and company/run boundaries. - The workflow changes still need hosted Linux verification. They retain the trusted workflow and credential boundaries. - Gzip reduces the observed provider upload from about 1.8 GB to 663 MB. It does not yet fix the remaining Claude Daytona transfer timeout. That recovery test never reached Claude, so recovery remains unverified. Use a matching image with the verified provider package preinstalled for the next recovery test; retain cold-upload coverage separately. - The report preserves diagnostic runs with missing source metadata and marks them as such. It does not claim a new full-suite pass. - This PR adds no new prompt policy or historical status reconciliation. ## Model Used OpenAI GPT-6 through Codex performed the primary implementation and review. The exact primary backend model ID is not exposed in this session. OpenAI `gpt-5.6-luna` assisted with bounded infrastructure work and verification. The agents used repository tools, code execution, and browser tests. The exact backend revision 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> Co-authored-by: OpenAI GPT-6 <noreply@openai.com>
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Runner E2E fixture authoring
The fixture catalog is executable production-contract data. Keep it small, typed, deterministic, and free of raw credentials.
Suites and matrices
A RunnerSuiteFixture declares one durable testing purpose: stable ID, label,
description, profiles, environments, cases, expected size, and definition or
ranking metadata. Its execution IDs are globally prefixed as
<suite>.<profile>.<environment>.<case>. Add a new suite when the testing
purpose or desired cross-product differs; do not inflate an existing suite with
unrelated dimensions.
The suite definition fingerprint is historical comparison metadata. Any profile, model qualification, environment, task, or ranking-snapshot change must change that fingerprint automatically so the dashboard can annotate the boundary instead of silently joining unlike totals.
Agent profiles
Add RunnerProfileFixture entries in catalog.ts. A profile declares:
- a stable ID and searchable groups;
- legacy or native generation;
- adapter/provider and required credential;
- a model imported from its adapter constant or qualified runner profile;
- supported environment IDs;
- expected runtime metadata; and
- an agent payload factory.
Do not duplicate model IDs, qualification decisions, CLI versions, or runner
artifact rules. Codex profiles import DEFAULT_CODEX_LOCAL_MODEL, OpenCode
profiles import QUALIFIED_OPENCODE_MODEL, and ACPX profiles import
QUALIFIED_ACPX_PROFILES. Add or qualify models at their owning production
source first.
OpenRouter breadth profiles are generated from openrouter-models.json, not
written by hand. That reviewed snapshot must contain exactly five unique,
available, tool-capable models with rank, canonical ID, display name, supported
parameters, source URL, capture time, and verified content hash. Refresh it
manually with pnpm test:e2e:runner:models:update; nightly campaigns never
change fixture definitions.
Agent adapterConfig.env values must be {type:"secret_ref", secretId, version:"latest"} objects supplied to the factory. A fixture source containing
a raw secret-looking value is rejected by catalog validation.
Environments
An EnvironmentFixture declares driver/provider, credential requirements,
attempt deadline, lifecycle behavior, expected execution target, and a payload
factory validated by the shared environment schema.
The local environment is instance-managed: company creation ensures it exists, and the public API intentionally rejects a second local environment. The setup registry therefore discovers that row through the public environments API. This still provides full isolation because every cell starts a new Paperclip instance and database.
Daytona creates sandbox environments through the public API. The core fixture
keeps reuseLease:false and runnerLifecycleMode:"per_turn". The dedicated
warm-continuity fixture uses reuseLease:true and
runnerLifecycleMode:"warm"; its distinct configurationKey is part of the
suite fingerprint even though both fixtures report environmentId:"daytona".
Keep short provider cleanup backstops, a Daytona secret reference, and an
immutable image digest. Teardown
must delete the environment with reusable-lease destruction and must fail the
cell if cleanup cannot be confirmed. Keep CPU, memory, and disk explicit: lease
metadata and the per-test public-list-price runtime estimate depend on that
pinned billable resource shape. Changing it requires updating billing tests and
reviewing the versioned Daytona rates in billing.ts.
Usage and billing data
Do not add fixture-authored token or dollar expectations. The live harness
reads usage from selected public heartbeat-run records and records coverage per
run. Provider-reported dollars remain distinct from runtime estimates. A zero
or missing native usage payload is unavailable unless a real token-bearing
receipt or provider cost proves otherwise. New execution environments must
provide lease/resource metadata for a runtime estimate or explicitly remain
unavailable; never infer that missing billing data means free execution.
Future providers (SSH, E2B, Modal, Cloudflare, Kubernetes, Novita, exe.dev)
should implement the same setup/probe/cleanup contract before being added to a
matrix. Unsupported profile/environment combinations belong in
supportedEnvironments, not in ad hoc test conditionals.
Task cases and matchers
A RunnerTaskFixture owns a work mode, a typed flow, expected run count,
nonce-based title/prompt/marker factories, per-environment attempt deadlines,
deterministic matchers, and expected terminal state. Single-turn prompts should
make one bounded request with observable output and no nondeterministic judging.
The plan_revision_acceptance flow must also provide revision-request and Plan
marker factories. question_resume_completion must define the deterministic
browser answer and prove exactly two successful runs with no pending
interaction. plan_approval_completion must target the exact two-step
canonical Plan revision, capture its pending UI, approve in the browser, and
prove exactly two successful runs. warm_three_turn provides exactly two
browser follow-up messages, preserves one project/execution-workspace scope,
verifies host file contents after every turn, and finishes within three
ten-minute turn deadlines. Native turns 1 and 2 include an actionable human review in the completion report's attentionRequests. Paperclip creates the review gate from that report. An explicit question-tool wait yields the turn and suppresses its final prose, so it is not interchangeable with this completion-review fixture. Turn 3 reports Done without another review.
Every selected case runs in its own isolated Paperclip process, and independent cases may run concurrently. Follow-up turns inside one case retain their shared task state. Each case creates and tears down its own company, secrets, environment selection, agent, and browser-created task. The current plan case proves three runs on the same issue: publish a two-step Plan, request a three-step revision through the UI, and accept the exact new revision through the UI before verifying implementation and Done.
The matcher union supports message exact/contains/regex/ordered checks, issue
and run state, runtime/environment metadata, files, artifacts, JSON paths, and
JSON Schema. The initial cases use normalized message_contains plus state,
runtime, and environment assertions; the plan flow additionally verifies
canonical document revision IDs, bodies, step counts, interaction targets, and
visible previews. Add matcher behavior and credential-free tests together.
Adding a task expands its suite's matrix. Update the suite's intentional size, the complete-catalog size, and credential-free unit tests in the same change. Paid tests never silently skip a missing credential or unsupported artifact.
New Paperclip object fixtures
Register new objects in live-fixtures.ts with explicit dependencies in
FixtureRegistry. Setup must use a public API. Teardown runs in reverse order
and is invoked after partial setup failures. Direct database writes and private
test-only runner endpoints are prohibited.
The expected dependency shape is:
company
└── encrypted secrets
└── environment
└── agent
└── browser-created task
Projects, goals, apps, and configuration fixtures can be inserted into that graph without changing the launcher. Keep returned fixture state to IDs and sanitized metadata; never retain raw secret values.
Required checks
Run before a fixture change is reviewed:
pnpm test:e2e:runner:unit
pnpm test:e2e:runner:typecheck
pnpm test:e2e:runner -- --list
Then run the narrowest paid cell that exercises the fixture. A full matrix is a manual or scheduled campaign, not a PR requirement.
Persistent chat fixtures
chat-cases.ts defines the eight-case agent-chat suite; chat-flow.ts drives the
production composer, plan revision/approval controls, questions, reset command,
and project cards. Keep its 28 local cells intentional. expectedRunCount
counts provider turns, including cancelled and handed-off task runs, but excludes
synthetic /new runs. Assertions must inspect all company runs because ordinary
issue lists exclude the source conversation. assertChatHandoff rejects missing
projects/plans, chat children, wrong assignees, and execution before plan commit.
Retained api-state.json, chat-handoff.json, and plan-revision evidence
include persisted comments, session generations, run context and logs, project
workspaces, task documents, and ordering. They pass through the normal sanitizer.
Screenshots are allowlisted to the exact disposable agent chat. Cleanup cancels
all active runs in the isolated company, including handed-off work; usage from
failed and cancelled runs must not disappear from campaign totals.
Warm three-turn continuity grades the exact workspace file after each turn, task completion, and sandbox/session identity. It also requires a visible persisted final reply with each turn marker once and in order. It does not grade exact final-reply wording; the hello and continuation fixtures retain those exact-response checks. This separates workspace persistence failures from model response-format variance.
chat-hardening.ts adds the explicit-only agent-chat-hardening journeys. Use
the ordinary public APIs to seed source documents and blockers. Keep the answer
out of the user's status/review request. Grade the exact source values, latest
blocker, preserved task identities, worker-authored output, and real executions.
The status request asks for JSON so the grader can distinguish the current
blocker from a historical mention and compare active-run count separately from
task status. The request must not reveal those expected values.
Capture the source after seeding and compare every field in the public issue
update contract, plus labels, dependencies, and dedicated-endpoint settings.
Derived inbound references may change when the chat legitimately cites a task.
The lost-acknowledgement probe may interrupt only the fixture browser's own
comment request after the real server has committed it. Retain its request ID
and replay that same request through the public API after restarting the server.
Never fabricate tool results or repair task state after a failed assertion.