## Thinking Path > - Paperclip manages AI agent work and the execution state for each task. > - Remote agents run in sandbox environments such as Daytona. > - Daytona keeps files while a sandbox is stopped, but deletion removes those files. > - Runner Codex did not copy successful remote workspace changes back to the host workspace. > - A warm sandbox could therefore hide data loss until Daytona replaced or deleted the sandbox. > - This pull request makes the host workspace durable after every successful turn and keeps verified reusable sandboxes warm. > - The benefit is reliable multi-turn work across warm reuse, restart, stop, and sandbox replacement. ## Linked Issues or Issue Description **What happened?** A successful native Codex turn in Daytona could leave workspace changes only in the remote sandbox. A later warm turn appeared to work because it reused that filesystem. A replacement sandbox could start from stale host data and lose the successful changes. **Expected behavior** Paperclip must merge each successful remote turn into the authoritative host workspace before it completes the run. A verified warm lease may reuse its remote files. A replacement lease must reconstruct the exact durable workspace seed. **Steps to reproduce** 1. Run Codex in a reusable Daytona environment. 2. Write a file during one successful turn. 3. Replace the Daytona sandbox before the next turn. 4. Observe that the next turn can start without the prior file on the unpatched code. Related remote workspace foundation: #10070. ## What Changed - Added explicit `host_current`, `durable_seed`, and `adopt_remote` workspace preparation modes. - Added atomic, versioned native workspace descriptors and seed archives under `PAPERCLIP_HOME`. - Added real native sandbox export and three-way host merge before terminal result completion. - Added workspace-only recovery after a proposed result. Recovery does not submit another provider turn or consume the provider retry budget. - Added fail-closed handling when a sandbox with unexported changes is gone. - Kept healthy reusable Daytona sandboxes started for legacy Codex and Runner Codex. - Kept the Runner Codex process and provider session across verified warm turns. - Added the paid `daytona-warm-continuity` browser suite. It contains exactly the legacy Codex and Runner Codex cells. Each cell performs three measured turns. - Documented `pnpm test:e2e:runner -- --suite daytona-warm-continuity`. No package script was added. - Added no database migration. The metadata format is backward compatible and idempotent. ## Verification - `pnpm typecheck` - `pnpm test:e2e:runner:unit` — 114 passed - Native workspace, finalizer, session, and environment tests — 232 passed - Daytona provider tests — 150 passed - Workspace staging and merge tests — 98 passed - Runner transport tests — 63 passed - Legacy Codex restore tests — 5 passed - Rust format and compile checks pass through root typecheck - The paid Daytona suite was not run locally because the required Daytona, OpenAI, and immutable image credentials are not present. ## Risks - The main risk is an incorrect workspace identity or merge after a crash. Durable descriptors bind the run, workspace, lease, provider lease, local root, remote root, and baseline digest. Ambiguous evidence fails closed. - The host merge may conflict with concurrent host edits. The existing three-way merge and exclusion rules handle this case and surface failures. - A deleted sandbox cannot recover unexported bytes. Paperclip now blocks with `workspace_sync_out_unrecoverable` instead of reporting success or rerunning the provider. - There is no database migration. Descriptor writes and recovery are atomic and idempotent. ## Model Used OpenAI Codex with GPT-5. The run used agentic reasoning, repository inspection, code execution, test execution, Git, and GitHub CLI tools. ## 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
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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.
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.