Files
PaperClipAI/tests/runner-e2e/catalog.ts
T
DottaandPaperclip cea8dda472 test: evaluate completion updates after native task handoffs (#13969)
## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work.
> - Users can delegate work through onboarding and Agent Chat.
> - A completed task does not prove that its result reached the original
conversation.
> - Existing tests do not isolate completion after the source chat
becomes idle.
> - This pull request adds four explicit native-runner probes across
Claude and Codex.
> - The probes preserve the result and reply so we can separate delivery
failures from inaccurate answers.

## Linked Issues or Issue Description

Refs #13775. Refs #13813.

These evals extend native-runner qualification. They measure completion
updates before we choose a product change.

## What Changed

- Add the opt-in `completion-updates` suite with two stories for each
native provider.
- Test completion in the existing onboarding task flow and after an
Agent Chat handoff becomes idle.
- Gate the chat worker on a brief inside its managed project workspace.
Prove the source is idle before releasing the worker.
- Check durable task completion, saved output, a subsequent source
reply, and rendered access to the result.
- Preserve replies, task state, screenshots, run events, and a separate
semantic review rubric.
- Add grader regression tests and update the documented eval contract.
- Preserve the suites added on master and include four completion cases
in the 306-cell catalog.

Production behavior and prompts are unchanged.

## Verification

- Passed all 565 eval support tests across 45 files after merging
current master: `node node_modules/vitest/vitest.mjs run --config
tests/runner-e2e/vitest.config.ts`.
- Passed eval TypeScript: `node node_modules/typescript/bin/tsc -p
tests/runner-e2e/tsconfig.json`.
- Confirmed four selected cells: `node cli/node_modules/tsx/dist/cli.mjs
tests/runner-e2e/launch.ts --list --suite completion-updates`.
- Four-cell behavior campaign on source
`ad47cf1da2b1e36f19f4227cfeb53998720b0b5b`:
https://github.com/paperclipai/paperclip/actions/runs/36072337485.
- A screenshot-only follow-up waits for the restored source reply to
render after result-link navigation. Its one-cell Claude onboarding
verification passed on final head:
https://github.com/paperclipai/paperclip/actions/runs/36075716141.
Corrected report:
https://d1p6rlowie26tp.cloudfront.net/runner-e2e/campaigns/gha-36075716141-1/.
The original four-cell onboarding screenshots caught navigation loading;
its saved reply evidence remains valid. The follow-up again found stale
wording: "That work will run next" was posted 38 seconds after the child
was Done. The four-cell campaign keeps its original source and
measurements.
- Published evidence:
https://d1p6rlowie26tp.cloudfront.net/runner-e2e/campaigns/gha-36072337485-1/.
- Suite definition:
`afba4d85d6c53d9f64c08b37a2e9cc20481b78f5bd7e2fa012045e2c69444d9d`,
version 6. Models: native `gpt-5.6-sol` and `claude-sonnet-5`, local
execution, one attempt per cell. All four cleanup checks passed.
Onboarding billing coverage is partial; reported zero cost must not be
read as a free run.

| Story | Automated delivery/access | Separate semantic review |
| --- | --- | --- |
| Codex onboarding | Pass | Pass: accurate completion reply with an
accessible result |
| Claude onboarding | Pass | Fail: reply says it will save the note once
the task runs, after the note is already saved and the task is Done |
| Codex idle chat handoff | Fail | Worker completed and saved the note;
no completion reply during the full observation window |
| Claude idle chat handoff | Fail | Worker completed and saved the note;
no completion reply during the full observation window |

Both chat cases positively recorded the source waiting and the worker at
the brief gate before release. Both saved outputs include the brief-only
start time. The opt-in campaign is red because it exposes current
behavior. It is not a required merge gate. The PR does not fix that
product behavior. Semantic review is a recorded human/agent assessment
of retained evidence; it is not an automated prose-quality judge.
- Second campaign:
https://github.com/paperclipai/paperclip/actions/runs/36071065098. Codex
chat reached the idle boundary and completed its task, then received no
completion reply during the full window. Claude onboarding again
returned a stale handoff answer. Claude chat exceeded the prior
110-second handoff setup budget; this revision raises that bounded setup
window to 180 seconds.
- Retained baseline:
https://github.com/paperclipai/paperclip/actions/runs/36069427676.
Onboarding passed delivery/access for both providers, but Claude gave a
stale handoff answer. Chat cases stopped at fixture problems; they do
not establish a completion-delivery failure. This revision fixes the
workspace path and competing reference requirements.
- On the previous head `4023a2a3c28d45c9eb2c42d452ce99ffba5c7b73`, 54 PR
checks passed and two were skipped, including typecheck, tests, and
build. Broad checks ran in CI, not locally. That head received Greptile
5/5 with no unresolved findings. The unchanged mobile
repository-settings browser test passed on one targeted retry after a
detached/disabled Save-button timeout.

- Merged current master in `9b4491e1f` and resolved the catalog-count
conflict. Eval support tests and eval TypeScript pass locally. All
individual CI jobs passed on this merge commit, including build,
typecheck, server tests, runner checks, and browser shards. The final
aggregate check also passed: 54 checks passed and two were skipped.
Greptile reviewed this exact commit at 5/5 with no unresolved findings.

## Risks

- These explicit probes can expose current product failures. They do not
change the default paid test selection.
- Mechanical delivery and result access do not establish answer
accuracy. The preserved reply still requires semantic review.
- A fixture failure before the idle boundary or worker completion cannot
establish a completion-update failure.
- The handoff setup window lasts three minutes. The worker brief wait is
bounded at four minutes. The observation window lasts two minutes after
worker completion. It retains later replies without erasing earlier
accessible delivery.

## Model Used

OpenAI Codex, GPT-6 (`gpt-6-astra`), with reasoning, repository
inspection, code execution, and GitHub tool use. The runtime does 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>
2026-09-28 09:58:14 -05:00

1296 lines
66 KiB
TypeScript

import { accountingTasks } from "./accounting-cases.js";
import { continuationTasks } from "./continuation-cases.js";
import { lifecycleLiveTasks, lifecycleLiveDefinitionDigest } from "./lifecycle-live-cases.js";
import { everydayTasks, productionStoryProfile } from "./everyday-cases.js";
import { firstTaskTasks } from "./first-task-cases.js";
import { chatTasks, chatHardeningTasks, chatStoryTasks, chatQualificationTasks, chatCompletionTasks } from "./chat-cases.js";
import { createHash } from "node:crypto";
import { createAgentSchema } from "../../packages/shared/src/validators/agent.js";
import { createEnvironmentSchema } from "../../packages/shared/src/validators/environment.js";
import { DEFAULT_CODEX_LOCAL_MODEL } from "../../packages/adapters/codex-local/src/index.js";
import { models as claudeModels } from "../../packages/adapters/claude-local/src/index.js";
import { QUALIFIED_ACPX_PROFILES } from "../../packages/paperclip-runner/src/drivers/acpx/qualified-profiles.js";
import { QUALIFIED_OPENCODE_MODEL } from "../../packages/paperclip-runner/src/drivers/opencode/opencode-server-driver.js";
import { CREDENTIAL_NAMES } from "./types.js";
import {
openRouterProfileId,
openRouterRankingSnapshot,
} from "./openrouter-ranking.js";
import type {
AgentFixtureBuildInput,
EnvironmentFixture,
EnvironmentFixtureBuildInput,
MatrixExecution,
RunnerProfileFixture,
RunnerTaskFixture,
RunnerSuiteFixture,
SecretReference,
} from "./types.js";
const ENVIRONMENT_IDS = ["local", "daytona"] as const;
const SELECTABLE_GROUPS = [
"legacy",
"native",
"local",
"daytona",
"warm",
"core",
"breadth",
"chat",
"onboarding",
] as const;
const SAMPLE_UUID = "11111111-1111-4111-8111-111111111111";
export function isImmutableDaytonaImage(value: string | undefined) {
return /^.+@sha256:[0-9a-f]{64}$/i.test(value ?? "");
}
function requiredSecret(
input: AgentFixtureBuildInput,
name: RunnerProfileFixture["credential"],
): SecretReference {
const value = input.secretRefs[name];
if (!value) throw new Error(`Missing fixture secret reference ${name}`);
return value;
}
function commonAgent(
input: AgentFixtureBuildInput,
fixtureId: string,
adapterType: string,
adapterConfig: Record<string, unknown>,
) {
return {
name: `Runner E2E ${fixtureId} ${input.executionId}`,
role: "qa",
title: "Paid full-stack runner acceptance fixture",
capabilities:
"Completes deterministic standard, planning, and ask-mode runner acceptance tasks.",
adapterType,
adapterConfig,
defaultEnvironmentId: input.environmentId,
budgetMonthlyCents: 0,
instructionsBundle: {
entryFile: "AGENTS.md",
files: {
"AGENTS.md": [
"You are running a paid Paperclip end-to-end acceptance fixture.",
"Follow the assigned task and its Paperclip work mode literally.",
"In ongoing agent chats, follow the injected production chat directive; keep the conversation available after replying. The completion and implementation instructions below apply only to ordinary execution tasks.",
"For ordinary standard and ask tasks, publish the requested visible answer and mark the task done.",
"For ordinary planning tasks, publish or revise the canonical Plan document and its revision-bound request_confirmation, then wait. Only implement after that exact plan is accepted.",
"Invoke assigned tools only through the runtime's real tool-call channel. Never print XML, DSML, JSON, or other tool-call markup as assistant text.",
"Legacy adapters must use the public Paperclip API and the injected PAPERCLIP_API_URL, PAPERCLIP_API_KEY, PAPERCLIP_TASK_ID, and PAPERCLIP_RUN_ID values for comments, documents, interactions, and status changes.",
...(adapterType === "paperclip_runner"
? []
: [
"Read the assigned paperclip skill before using the Paperclip API. Use its documented request payloads rather than guessing fields from memory.",
'For a planning task, do not inspect the OpenAPI schema. PUT /api/issues/$PAPERCLIP_TASK_ID/documents/plan with {title:"Plan",format:"markdown",body,changeSummary}; read latestRevisionId and latestRevisionNumber from that response. Then POST /api/issues/$PAPERCLIP_TASK_ID/interactions with {kind:"request_confirmation",continuationPolicy:"wake_assignee",payload:{version:1,prompt,acceptLabel:"Approve",rejectLabel:"Reject",rejectRequiresReason:true,target:{type:"issue_document",key:"plan",revisionId,revisionNumber}}}, and PATCH the issue to {status:"in_review"}. Include Authorization and X-Paperclip-Run-Id on every write.',
]),
"Never print, persist, or expose credential values, and never create unrelated work.",
].join("\n"),
},
},
runtimeConfig: {},
};
}
function legacyProfile(input: {
id: string;
label: string;
adapterType: "codex_local" | "claude_local" | "opencode_local";
provider: string;
model: string;
credential: RunnerProfileFixture["credential"];
extraConfig?: Record<string, unknown>;
}): RunnerProfileFixture {
return {
...input,
modelQualification: {
source: "adapter_constant",
qualificationId: `${input.adapterType}:default-model`,
},
generation: "legacy",
groups: ["legacy"],
supportedEnvironments: ENVIRONMENT_IDS,
expectedRuntimeMode: "legacy",
expectedRuntimeMetadata: {
adapterType: input.adapterType,
provider: input.provider,
},
buildAgent(buildInput) {
return commonAgent(buildInput, input.id, input.adapterType, {
// Remote adapters must inherit the lease's provider-owned remoteCwd.
// A host path here would override that mapping inside the sandbox.
...(buildInput.environmentFixtureId === "local"
? { cwd: buildInput.workspacePath }
: {}),
model: input.model,
timeoutSec: buildInput.environmentFixtureId === "daytona" ? 780 : 360,
dangerouslySkipPermissions: true,
...input.extraConfig,
env: {
[input.credential]: requiredSecret(buildInput, input.credential),
},
});
},
};
}
function nativeProfile(input: {
id: string;
label: string;
provider: "codex" | "opencode" | "acpx";
model: string;
credential: RunnerProfileFixture["credential"];
acpxAgent?: "claude" | "codex";
supportedEnvironments?: readonly (typeof ENVIRONMENT_IDS)[number][];
modelQualification?: RunnerProfileFixture["modelQualification"];
ranking?: RunnerProfileFixture["ranking"];
}): RunnerProfileFixture {
return {
...input,
adapterType: "paperclip_runner",
generation: "native",
groups: ["native"],
supportedEnvironments: input.supportedEnvironments ?? ENVIRONMENT_IDS,
expectedRuntimeMode: "native",
modelQualification: input.modelQualification ?? {
source:
input.provider === "acpx"
? "qualified_runner_profile"
: "adapter_constant",
qualificationId:
input.provider === "acpx"
? `acpx:${input.acpxAgent}`
: `${input.provider}:qualified-model`,
},
...(input.ranking ? { ranking: input.ranking } : {}),
expectedRuntimeMetadata: {
adapterType: "paperclip_runner",
provider: input.provider,
},
buildAgent(buildInput) {
const credentialRef = requiredSecret(buildInput, input.credential);
const permissionConfig =
input.provider === "codex"
? { codexPermissionMode: "never" }
: input.provider === "opencode"
? { opencodePermissionMode: "allow" }
: { acpxPermissionMode: "approve-all", acpxAgent: input.acpxAgent };
return commonAgent(buildInput, input.id, "paperclip_runner", {
provider: input.provider,
model: input.model,
lifecycleMode: "per_turn",
idleTimeoutMs: 300_000,
...permissionConfig,
env: {
[input.credential]: credentialRef,
// Codex's supported automation credential is CODEX_API_KEY. Keep
// OPENAI_API_KEY as the operator-facing fixture secret name and bind
// the same encrypted reference to the runtime-specific alias.
...(input.provider === "codex"
? { CODEX_API_KEY: credentialRef }
: {}),
},
});
},
};
}
/** Chat acceptance exercises the shipped provider defaults, not full-auto fixtures. */
function defaultPermissionProfile(profile: RunnerProfileFixture): RunnerProfileFixture {
if (profile.generation !== "native") return profile;
return {
...profile,
buildAgent(input) {
const payload = profile.buildAgent(input);
const { codexPermissionMode: _codex, acpxPermissionMode: _acpx, ...adapterConfig } = payload.adapterConfig as Record<string, unknown>;
return { ...payload, adapterConfig };
},
};
}
const claudeLegacyModel = "claude-sonnet-4-6";
if (!claudeModels.some((model) => model.id === claudeLegacyModel)) {
throw new Error(
`Claude adapter does not expose the qualified ${claudeLegacyModel} model`,
);
}
export const runnerProfiles: readonly RunnerProfileFixture[] = [
legacyProfile({
id: "legacy-codex",
label: "Legacy Codex",
adapterType: "codex_local",
provider: "codex",
model: DEFAULT_CODEX_LOCAL_MODEL,
credential: "OPENAI_API_KEY",
// Keep this fixture on the classic adapter/CLI lane. ACP execution is
// covered independently by the native runner ACPX profiles below.
extraConfig: {
engine: "cli",
// Shell snapshots serialize inherited environment values into CODEX_HOME.
// These disposable runs carry short-lived API credentials; keep that
// optional optimization off rather than exempting leaked files from scans.
extraArgs: ["-c", "features.shell_snapshot=false"],
},
}),
legacyProfile({
id: "legacy-claude",
label: "Legacy Claude",
adapterType: "claude_local",
provider: "claude",
model: claudeLegacyModel,
credential: "ANTHROPIC_API_KEY",
extraConfig: {
engine: "cli",
// Plan fixtures need enough tool turns to read the issue, write the
// canonical Plan document, and request confirmation. Four turns caused
// the Claude CLI to terminate correctly but prematurely with
// `max_turns_exhausted` during the revision flow.
maxTurnsPerRun: 24,
},
}),
legacyProfile({
id: "legacy-opencode",
label: "Legacy OpenCode",
adapterType: "opencode_local",
provider: "opencode",
model: QUALIFIED_OPENCODE_MODEL,
credential: "OPENROUTER_API_KEY",
}),
nativeProfile({
id: "runner-codex",
label: "Runner Codex",
provider: "codex",
model: DEFAULT_CODEX_LOCAL_MODEL,
credential: "OPENAI_API_KEY",
}),
nativeProfile({
id: "runner-opencode",
label: "Runner OpenCode",
provider: "opencode",
model: QUALIFIED_OPENCODE_MODEL,
credential: "OPENROUTER_API_KEY",
}),
nativeProfile({
id: "runner-acpx-claude",
label: "Runner ACPX Claude",
provider: "acpx",
acpxAgent: "claude",
model: QUALIFIED_ACPX_PROFILES.claude.qualificationModel,
credential: "ANTHROPIC_API_KEY",
}),
nativeProfile({
id: "runner-acpx-codex",
label: "Runner ACPX Codex",
provider: "acpx",
acpxAgent: "codex",
model: QUALIFIED_ACPX_PROFILES.codex.qualificationModel,
credential: "OPENAI_API_KEY",
}),
] as const;
export const openRouterBreadthExcludedModelIds = ["xiaomi/mimo-v2.5"] as const;
export const openRouterBreadthExcludedExecutionIds = [
"openrouter-model-breadth.openrouter-deepseek-deepseek-v4-flash-0731.local.plan-approve-complete",
"openrouter-model-breadth.openrouter-tencent-hy3.local.plan-approve-complete",
] as const;
const openRouterBreadthExcludedModelIdSet = new Set<string>(
openRouterBreadthExcludedModelIds,
);
export const openRouterBreadthProfiles: readonly RunnerProfileFixture[] =
openRouterRankingSnapshot.models
.filter(
(rankedModel) => !openRouterBreadthExcludedModelIdSet.has(rankedModel.id),
)
.map((rankedModel) =>
nativeProfile({
id: openRouterProfileId(rankedModel.id),
label: `#${rankedModel.rank} ${rankedModel.name}`,
provider: "opencode",
model: `openrouter/${rankedModel.id}`,
credential: "OPENROUTER_API_KEY",
supportedEnvironments: ["local"],
modelQualification: {
source: "openrouter_rankings_snapshot",
qualificationId: `${openRouterRankingSnapshot.snapshotId}:${rankedModel.rank}`,
},
ranking: {
rank: rankedModel.rank,
canonicalModelId: rankedModel.id,
snapshotId: openRouterRankingSnapshot.snapshotId,
capturedAt: openRouterRankingSnapshot.capturedAt,
sourceUrl: openRouterRankingSnapshot.sourceUrl,
},
}),
);
function requiredDaytonaSecret(input: EnvironmentFixtureBuildInput) {
const apiKey = input.secretRefs.DAYTONA_API_KEY;
if (!apiKey)
throw new Error("Missing fixture secret reference DAYTONA_API_KEY");
return apiKey;
}
export const runnerEnvironments: readonly EnvironmentFixture[] = [
{
id: "local",
label: "Isolated local",
groups: ["local"],
driver: "local",
provider: "local",
lifecycle: {
setup: "instance_managed",
probe: "run_context_via_api",
cleanup: "instance_shutdown",
},
expectedExecutionTarget: { kind: "local" },
buildEnvironment(input) {
return {
name: `Runner E2E local ${input.executionId}`,
description: "Ephemeral local runner E2E environment",
driver: "local",
config: {},
envVars: {},
};
},
},
{
id: "daytona",
label: "Daytona sandbox",
groups: ["daytona"],
driver: "sandbox",
provider: "daytona",
credential: "DAYTONA_API_KEY",
lifecycle: {
setup: "create_via_api",
probe: "run_context_via_api",
cleanup: "delete_via_api_and_destroy_leases",
},
expectedExecutionTarget: { kind: "remote", transport: "sandbox" },
buildEnvironment(input) {
if (!isImmutableDaytonaImage(input.daytonaImage)) {
throw new Error(
"PAPERCLIP_E2E_DAYTONA_IMAGE must be an immutable image digest",
);
}
return {
name: `Runner E2E Daytona ${input.executionId}`,
description: "Ephemeral Daytona runner E2E environment",
driver: "sandbox",
config: {
provider: "daytona",
apiKey: requiredDaytonaSecret(input),
image: input.daytonaImage,
// Pin the billable resource shape so per-test runtime list-price
// estimates remain reproducible when provider defaults change.
cpu: 4,
memory: 4,
disk: 10,
reuseLease: false,
runnerLifecycleMode: "per_turn",
autoStopInterval: 5,
autoArchiveInterval: 15,
autoDeleteInterval: 60,
timeoutMs: 300_000,
livenessTimeoutMs: 30_000,
},
envVars: {},
};
},
},
] as const;
export const daytonaWarmEnvironment: EnvironmentFixture = {
id: "daytona",
configurationKey: "warm-reuse-v1",
label: "Daytona warm reusable sandbox",
groups: ["daytona", "warm"],
driver: "sandbox",
provider: "daytona",
credential: "DAYTONA_API_KEY",
lifecycle: {
setup: "create_via_api",
probe: "run_context_via_api",
cleanup: "delete_via_api_and_destroy_leases",
},
expectedExecutionTarget: { kind: "remote", transport: "sandbox" },
buildEnvironment(input) {
if (!isImmutableDaytonaImage(input.daytonaImage)) {
throw new Error(
"PAPERCLIP_E2E_DAYTONA_IMAGE must be an immutable image digest",
);
}
return {
name: `Runner E2E Daytona warm ${input.executionId}`,
description: "Ephemeral reusable Daytona runner E2E environment",
driver: "sandbox",
config: {
provider: "daytona",
apiKey: requiredDaytonaSecret(input),
image: input.daytonaImage,
cpu: 4,
memory: 4,
disk: 10,
reuseLease: true,
runnerLifecycleMode: "warm",
autoStopInterval: 5,
autoArchiveInterval: 15,
autoDeleteInterval: 60,
timeoutMs: 300_000,
livenessTimeoutMs: 30_000,
},
envVars: {},
};
},
};
export const runnerTasks: readonly RunnerTaskFixture[] = [
{
id: "message-marker",
label: "Basic response",
groups: [],
workMode: "standard",
flow: "single_turn",
expectedRunCount: 1,
attemptTimeoutMs: {
local: 8 * 60_000,
daytona: 15 * 60_000,
},
expectedTerminalState: { issue: "done", run: "succeeded" },
buildTitle: (nonce) => `Runner E2E PAPERCLIP_E2E_OK_${nonce}`,
buildVisibleMarker: (nonce) => `PAPERCLIP_E2E_OK_${nonce}`,
buildPrompt: (nonce) =>
[
"Complete this task in a single run.",
`The exact marker also appears unescaped in the task title: PAPERCLIP_E2E_OK_${nonce}`,
`Your final visible task-thread response must be exactly this marker: PAPERCLIP_E2E_OK_${nonce}`,
`In a native runner, use the current turn completion revision and criterion IDs (CURRENT_TURN_REVISION below is a placeholder, not a literal), then call paperclip_finish exactly once with {reportedWorkDisposition:"done",summary:"PAPERCLIP_E2E_OK_${nonce}",completionClaim:{contractRevision:CURRENT_TURN_REVISION,objectiveSatisfied:true,criteria:[{criterionId:"objective",status:"satisfied",evidenceRefs:[]}],remainingWork:[]},evidence:[],verification:[]}. Wait for that tool call to succeed, then emit exactly PAPERCLIP_E2E_OK_${nonce} once as the complete user-facing final response. Do not write a user-facing final response before paperclip_finish succeeds, and do not call another tool.`,
`In a legacy runner, make exactly one public-API write containing the marker: PATCH /api/issues/$PAPERCLIP_TASK_ID with {"status":"done","comment":"PAPERCLIP_E2E_OK_${nonce}"}. Do not POST to /comments, and do not include the marker in any other write.`,
"The visible task-thread response is asserted; hidden reasoning or provider terminal output alone does not count.",
"Use underscore characters exactly as shown and do not insert backslashes.",
"Do not create files, ask questions, start additional tasks, or include any credentials.",
].join("\n"),
buildMatchers(nonce, execution) {
return [
{ kind: "message_exact", expected: `PAPERCLIP_E2E_OK_${nonce}` },
{
kind: "message_occurrences",
expected: `PAPERCLIP_E2E_OK_${nonce}`,
count: 1,
},
{
kind: "issue_status",
expected: execution.task.expectedTerminalState.issue,
},
{
kind: "run_status",
expected: execution.task.expectedTerminalState.run,
},
{
kind: "runtime_mode",
expected: execution.profile.expectedRuntimeMode,
},
{ kind: "environment", expected: execution.environment.id },
];
},
},
{
id: "plan-revise-accept",
label: "Plan, revise, accept, implement",
groups: [],
workMode: "planning",
flow: "plan_revision_acceptance",
expectedRunCount: 3,
attemptTimeoutMs: {
local: 8 * 60_000,
daytona: 12 * 60_000,
},
expectedTerminalState: { issue: "done", run: "succeeded" },
buildTitle: (nonce) => `Runner E2E plan lifecycle ${nonce}`,
buildVisibleMarker: (nonce) => `PAPERCLIP_E2E_PLAN_DONE_${nonce}`,
buildPlanMarkers: (nonce) => ({
draft: `PAPERCLIP_E2E_PLAN_DRAFT_${nonce}`,
revised: `PAPERCLIP_E2E_PLAN_REVISED_${nonce}`,
}),
buildRevisionRequest: (nonce) =>
[
"Revise this same plan; do not implement it yet.",
`Remove PAPERCLIP_E2E_PLAN_DRAFT_${nonce} and include PAPERCLIP_E2E_PLAN_REVISED_${nonce}.`,
"Change the plan from two steps to exactly three numbered steps, with verification as step 3.",
"Publish the revised canonical Plan revision and request confirmation for that new revision.",
"In a native runner, call write_document for key `plan`, then call request_human_input exactly once with interactionKind `confirmation`, targetRevisionId set to the returned latest Plan revision, and continuationPolicy `wake_assignee`; do not call paperclip_finish while waiting. After write_document succeeds, request_human_input must be your immediate next action using that call's returned latestRevisionId; do not emit assistant text, end the response or heartbeat, or stop after write_document alone.",
"In a legacy runner, first GET the current `plan` issue document, then PUT the revised Plan with `baseRevisionId` set to that response's `latestRevisionId`; after the update succeeds, create the equivalent request_confirmation targeting the newly returned `latestRevisionId` through the public Paperclip API.",
].join(" "),
buildPrompt: (nonce) =>
[
"This is a planning-mode lifecycle acceptance task.",
"First, create a small canonical Plan with exactly two numbered steps and request approval; do not implement it.",
`The initial Plan body must contain PAPERCLIP_E2E_PLAN_DRAFT_${nonce}.`,
"If the plan is sent back, revise that same Plan document according to the revision note, publish a new revision-bound confirmation, and still do not implement.",
`Before the revised Plan is accepted, do not spell, quote, repeat, announce, or include PAPERCLIP_E2E_PLAN_DONE_${nonce} in any visible response, comment, or tool payload; refer to it only as “the terminal marker.”`,
"Only after the revised plan is accepted, implement it by posting one final visible task-thread response containing exactly " +
`PAPERCLIP_E2E_PLAN_DONE_${nonce}` +
" and mark the task Done.",
`For a native runner, remain in the requested planning collaboration mode. Call write_document for key \`plan\`, then call request_human_input exactly once with interactionKind \`confirmation\`, targetRevisionId set to the returned latest Plan revision, and continuationPolicy \`wake_assignee\`. For both the initial Plan and the revised Plan, those two tool calls form one indivisible response sequence: immediately after write_document succeeds, request_human_input must be your next action using that call's returned latestRevisionId. Do not emit assistant text, end the response or heartbeat, or stop after write_document alone before the matching confirmation request succeeds. Do not call paperclip_finish while waiting for either Plan confirmation. When an acceptance wake arrives, first call get_task_context. Treat the wake as valid only when that control-plane result is for the current task and identifies the exact revised Plan revision used as the confirmation target as accepted; otherwise do not finish and continue waiting for the matching revision-bound confirmation. After that verification succeeds, your immediate next action must be the paperclip_finish tool call. Do not call list_documents or any other tool, and do not emit any assistant text, acknowledgement, progress note, or preamble between verification and paperclip_finish. Use the current turn completion revision and criterion IDs (CURRENT_TURN_REVISION below is a placeholder, not a literal). Call paperclip_finish exactly once with {reportedWorkDisposition:"done",summary:"PAPERCLIP_E2E_PLAN_DONE_${nonce}",completionClaim:{contractRevision:CURRENT_TURN_REVISION,objectiveSatisfied:true,criteria:[{criterionId:"objective",status:"satisfied",evidenceRefs:[]}],remainingWork:[]},evidence:[],verification:[]}. Wait for that tool call to succeed, then emit only PAPERCLIP_E2E_PLAN_DONE_${nonce} as the complete final response. Do not write a user-facing final response before paperclip_finish succeeds, and do not call another tool.`,
`For a legacy runner, use the public Paperclip API. The first PUT of the \`plan\` issue document creates it. For every later PUT, first GET the current document and set \`baseRevisionId\` to its \`latestRevisionId\`; a 409 means you must GET again and retry with the new latest revision. Create a \`request_confirmation\` targeting the successful PUT response's \`latestRevisionId\` with \`continuationPolicy: wake_assignee\`, and move the issue to \`in_review\` while waiting. After the revised Plan is accepted, write PAPERCLIP_E2E_PLAN_DONE_${nonce} exactly once through one atomic issue PATCH with status \`done\` and that exact comment; do not POST a separate comment or perform a second write.`,
"Do not create files, child tasks, or unrelated work, and do not expose credentials.",
].join("\n"),
buildMatchers(nonce, execution) {
return [
{
kind: "message_exact",
expected: `PAPERCLIP_E2E_PLAN_DONE_${nonce}`,
},
{
kind: "message_occurrences",
expected: `PAPERCLIP_E2E_PLAN_DONE_${nonce}`,
count: 1,
},
{
kind: "issue_status",
expected: execution.task.expectedTerminalState.issue,
},
{
kind: "run_status",
expected: execution.task.expectedTerminalState.run,
},
{
kind: "runtime_mode",
expected: execution.profile.expectedRuntimeMode,
},
{ kind: "environment", expected: execution.environment.id },
];
},
},
{
id: "ask-question",
label: "Ask mode question",
groups: [],
workMode: "ask",
flow: "single_turn",
expectedRunCount: 1,
attemptTimeoutMs: {
local: 8 * 60_000,
daytona: 15 * 60_000,
},
expectedTerminalState: { issue: "done", run: "succeeded" },
buildTitle: (nonce) => `Runner E2E ask mode ${nonce}`,
buildVisibleMarker: (nonce) => `E2E_ASK_12_${nonce}`,
buildPrompt: (nonce) =>
[
"Answer this question directly in Ask mode: what is seven plus five?",
`Your final visible task-thread answer must be exactly this complete marker, including its final suffix: E2E_ASK_12_${nonce}.`,
"Do not create or modify files, do not create a plan or additional work, and do not expose credentials.",
"After posting the direct answer, mark this task Done.",
`In a native runner, use the current turn completion revision and criterion IDs (CURRENT_TURN_REVISION below is a placeholder, not a literal), then call paperclip_finish exactly once with {reportedWorkDisposition:"done",summary:"E2E_ASK_12_${nonce}",completionClaim:{contractRevision:CURRENT_TURN_REVISION,objectiveSatisfied:true,criteria:[{criterionId:"objective",status:"satisfied",evidenceRefs:[]}],remainingWork:[]},evidence:[],verification:[]}. For the entire run, paperclip_finish must be your only tool call: never call report_progress or any other tool before or after it. Wait for that tool call to succeed, then emit exactly E2E_ASK_12_${nonce} as the complete final response. Do not write a user-facing final response before paperclip_finish succeeds.`,
`In a legacy runner, make exactly one public-API write containing the marker: PATCH /api/issues/$PAPERCLIP_TASK_ID with {"status":"done","comment":"E2E_ASK_12_${nonce}"}. Do not POST to /comments, do not PATCH the status separately, and do not include the marker in any other API write.`,
].join("\n"),
buildMatchers(nonce, execution) {
return [
{
kind: "message_exact",
expected: `E2E_ASK_12_${nonce}`,
},
{
kind: "message_occurrences",
expected: `E2E_ASK_12_${nonce}`,
count: 1,
},
{
kind: "issue_status",
expected: execution.task.expectedTerminalState.issue,
},
{
kind: "run_status",
expected: execution.task.expectedTerminalState.run,
},
{
kind: "runtime_mode",
expected: execution.profile.expectedRuntimeMode,
},
{ kind: "environment", expected: execution.environment.id },
];
},
},
] as const;
function terminalMatchers(
nonceMarker: string,
execution: MatrixExecution,
): readonly ReturnType<RunnerTaskFixture["buildMatchers"]>[number][] {
return [
{ kind: "message_exact", expected: nonceMarker },
{ kind: "message_occurrences", expected: nonceMarker, count: 1 },
{
kind: "issue_status",
expected: execution.task.expectedTerminalState.issue,
},
{ kind: "run_status", expected: execution.task.expectedTerminalState.run },
{ kind: "runtime_mode", expected: execution.profile.expectedRuntimeMode },
{ kind: "environment", expected: execution.environment.id },
];
}
function breadthMarker(phase: "H" | "Q_C" | "P_READY" | "P_OK", nonce: string) {
// Keep the complete visible marker comfortably below the shortest output
// fragments observed across ranked models while retaining the attempt nonce.
return `PC_${phase}_${nonce}`;
}
const structuredQuestionResumeTask = {
id: "structured-question-resume",
label: "Structured question, answer, resume",
groups: [],
workMode: "standard",
flow: "question_resume_completion",
expectedRunCount: 2,
attemptTimeoutMs: { local: 12 * 60_000, daytona: 12 * 60_000 },
expectedTerminalState: { issue: "done", run: "succeeded" },
buildTitle: (nonce) => `Runner E2E structured question ${nonce}`,
buildVisibleMarker: (nonce) => `PAPERCLIP_E2E_QUESTION_DONE_${nonce}`,
buildQuestionAnswer: (nonce) => ({
optionLabel: "Cobalt",
expectedMarker: `PAPERCLIP_E2E_QUESTION_DONE_${nonce}`,
}),
buildPrompt: (nonce) =>
[
"Ask the user one structured question before completing this task.",
"The question must be required, single-select, and offer Cobalt and Amber. Do not publish a final answer or mark the task Done while it is pending.",
`Before the answer arrives, do not spell, quote, repeat, announce, or include PAPERCLIP_E2E_QUESTION_DONE_${nonce} in any visible response, comment, or tool payload; refer to it only as “the terminal marker.”`,
`In a native runner, call request_human_input exactly once with idempotencyKey \`question-${nonce}\`, interactionKind \`questions\`, title \`Verification word\`, prompt \`Choose the verification word\`, continuationPolicy \`wake_assignee\`, and payload {version:1,questions:[{id:\`verification-word\`,prompt:\`Choose the verification word.\`,selectionMode:\`single\`,required:true,options:[{id:\`cobalt\`,label:\`Cobalt\`},{id:\`amber\`,label:\`Amber\`}]}]}.`,
'In a legacy runner, derive `API_ORIGIN` exactly once with `API_ORIGIN="${PAPERCLIP_API_URL%/}"; API_ORIGIN="${API_ORIGIN%/api}"`. Build every endpoint as `$API_ORIGIN/api/...`; never append `/api` to a base that already ends in `/api`.',
`In a legacy runner, create exactly one question interaction: POST $API_ORIGIN/api/issues/$PAPERCLIP_TASK_ID/interactions once with {"kind":"ask_user_questions","idempotencyKey":"question-${nonce}","continuationPolicy":"wake_assignee","payload":{"version":1,"questions":[{"id":"verification-word","prompt":"Choose the verification word.","selectionMode":"single","required":true,"options":[{"id":"cobalt","label":"Cobalt"},{"id":"amber","label":"Amber"}]}]}} using Authorization and X-Paperclip-Run-Id. Do not create a replacement interaction if a later write fails.`,
'In a legacy runner, after that POST returns 2xx, PATCH $API_ORIGIN/api/issues/$PAPERCLIP_TASK_ID with exactly {"status":"in_review"}. Do not include `reviewInteractionId`: it only designates confirmation interactions, not `ask_user_questions`. If the PATCH fails, retry only that PATCH and never POST the interaction again.',
"In a legacy runner, after those two writes succeed, end the current response and heartbeat immediately. Do not wait, sleep, poll, or fetch the interaction; `wake_assignee` will start a new heartbeat after the user answers.",
`After the answer arrives, if it is Cobalt, publish exactly PAPERCLIP_E2E_QUESTION_DONE_${nonce} once as the complete visible response and mark the task Done.`,
`In a native runner, after the answer arrives, use the current turn completion revision and criterion IDs (CURRENT_TURN_REVISION below is a placeholder, not a literal), then call paperclip_finish exactly once with {reportedWorkDisposition:"done",summary:"PAPERCLIP_E2E_QUESTION_DONE_${nonce}",completionClaim:{contractRevision:CURRENT_TURN_REVISION,objectiveSatisfied:true,criteria:[{criterionId:"objective",status:"satisfied",evidenceRefs:[]}],remainingWork:[]},evidence:[],verification:[]}. Wait for that tool call to succeed, then emit exactly PAPERCLIP_E2E_QUESTION_DONE_${nonce} as the complete final response. Do not write a user-facing final response before paperclip_finish succeeds, and do not call another tool.`,
`In a legacy runner, make exactly one completion write: PATCH $API_ORIGIN/api/issues/$PAPERCLIP_TASK_ID with {"status":"done","comment":"PAPERCLIP_E2E_QUESTION_DONE_${nonce}"}. Do not POST a separate comment or perform a second write containing the marker.`,
"Do not create files, plans, child tasks, or unrelated work, and do not expose credentials.",
].join("\n"),
buildMatchers(nonce, execution) {
return [
{
kind: "message_exact",
expected: `PAPERCLIP_E2E_QUESTION_DONE_${nonce}`,
},
{
kind: "message_occurrences",
expected: `PAPERCLIP_E2E_QUESTION_DONE_${nonce}`,
count: 1,
},
{
kind: "issue_status",
expected: execution.task.expectedTerminalState.issue,
},
{
kind: "run_status",
expected: execution.task.expectedTerminalState.run,
},
{
kind: "runtime_mode",
expected: execution.profile.expectedRuntimeMode,
},
{ kind: "environment", expected: execution.environment.id },
];
},
} satisfies RunnerTaskFixture;
export const localIntegrityTasks: readonly RunnerTaskFixture[] = [
structuredQuestionResumeTask,
{
...structuredQuestionResumeTask,
id: "structured-question-restart-resume",
label: "Structured question, server restart, answer, resume",
restartServerBeforeQuestionAnswer: true,
buildTitle: (nonce) => `Runner E2E restart question ${nonce}`,
},
] as const;
export const openRouterBreadthTasks: readonly RunnerTaskFixture[] = [
{
id: "hello-complete",
label: "Hello and complete",
groups: [],
workMode: "standard",
flow: "single_turn",
expectedRunCount: 1,
attemptTimeoutMs: { local: 8 * 60_000, daytona: 8 * 60_000 },
expectedTerminalState: { issue: "done", run: "succeeded" },
buildTitle: (nonce) => `OpenRouter breadth hello ${nonce}`,
buildVisibleMarker: (nonce) => breadthMarker("H", nonce),
buildPrompt: (nonce) =>
[
"Complete this deterministic hello task in one turn.",
"Your first response action must be the paperclip_finish tool call. Do not emit any assistant text, acknowledgement, or preamble before calling it.",
`Use the current turn completion revision and criterion IDs (CURRENT_TURN_REVISION below is a placeholder, not a literal). Call paperclip_finish exactly once with {reportedWorkDisposition:"done",summary:"${breadthMarker("H", nonce)}",completionClaim:{contractRevision:CURRENT_TURN_REVISION,objectiveSatisfied:true,criteria:[{criterionId:"objective",status:"satisfied",evidenceRefs:[]}],remainingWork:[]},evidence:[],verification:[]}. Wait for that tool call to succeed, then emit exactly ${breadthMarker("H", nonce)} as the complete user-facing final response. Do not write a user-facing final response before paperclip_finish succeeds, and do not call another tool.`,
"Do not create files, plans, interactions, or additional work.",
].join("\n"),
buildMatchers: (nonce, execution) =>
terminalMatchers(breadthMarker("H", nonce), execution),
},
{
id: "question-resume-complete",
label: "Ask, answer, resume",
groups: [],
workMode: "standard",
flow: "question_resume_completion",
expectedRunCount: 2,
attemptTimeoutMs: { local: 12 * 60_000, daytona: 12 * 60_000 },
expectedTerminalState: { issue: "done", run: "succeeded" },
buildTitle: (nonce) => `OpenRouter breadth question ${nonce}`,
buildVisibleMarker: (nonce) => breadthMarker("Q_C", nonce),
buildQuestionAnswer: (nonce) => ({
optionLabel: "Cobalt",
expectedMarker: breadthMarker("Q_C", nonce),
}),
buildPrompt: (nonce) =>
[
"Ask the user one structured question before completing this task.",
`Call request_human_input exactly once with idempotencyKey \`question-${nonce}\`, interactionKind \`questions\`, title \`Verification word\`, prompt \`Choose the verification word\`, continuationPolicy \`wake_assignee\`, and payload {version:1,questions:[{id:\`verification-word\`,prompt:\`Choose the verification word.\`,selectionMode:\`single\`,required:true,options:[{id:\`cobalt\`,label:\`Cobalt\`},{id:\`amber\`,label:\`Amber\`}]}]}.`,
`Before the answer arrives, do not spell, quote, repeat, announce, or include ${breadthMarker("Q_C", nonce)} in any visible response, comment, or tool payload; refer to it only as “the terminal marker.”`,
"Do not call paperclip_finish while the question is pending.",
`After the answer arrives, if it is Cobalt, use the current turn completion revision and criterion IDs (CURRENT_TURN_REVISION below is a placeholder, not a literal), then call paperclip_finish exactly once with {reportedWorkDisposition:"done",summary:"${breadthMarker("Q_C", nonce)}",completionClaim:{contractRevision:CURRENT_TURN_REVISION,objectiveSatisfied:true,criteria:[{criterionId:"objective",status:"satisfied",evidenceRefs:[]}],remainingWork:[]},evidence:[],verification:[]}. Wait for that tool call to succeed, then emit exactly ${breadthMarker("Q_C", nonce)} as the complete user-facing final response. Do not write a user-facing final response before paperclip_finish succeeds, and do not call another tool.`,
"Do not create files, plans, or additional work.",
].join("\n"),
buildMatchers: (nonce, execution) =>
terminalMatchers(breadthMarker("Q_C", nonce), execution),
},
{
id: "plan-approve-complete",
label: "Plan, approve, complete",
groups: [],
workMode: "planning",
flow: "plan_approval_completion",
expectedRunCount: 2,
attemptTimeoutMs: { local: 15 * 60_000, daytona: 15 * 60_000 },
expectedTerminalState: { issue: "done", run: "succeeded" },
buildTitle: (nonce) => `OpenRouter breadth plan ${nonce}`,
buildVisibleMarker: (nonce) => breadthMarker("P_OK", nonce),
buildPlanMarkers: (nonce) => ({
draft: breadthMarker("P_READY", nonce),
revised: breadthMarker("P_OK", nonce),
}),
buildPrompt: (nonce) =>
[
"Create a canonical Plan with exactly two numbered steps and request approval; do not implement before approval.",
`The Plan body must contain ${breadthMarker("P_READY", nonce)}.`,
"Call write_document for key `plan`, then call request_human_input exactly once with interactionKind `confirmation`, targetRevisionId set to the returned latest Plan revision, and continuationPolicy `wake_assignee`.",
`Before that exact Plan revision is accepted, do not spell, quote, repeat, announce, or include ${breadthMarker("P_OK", nonce)} in any visible response, comment, or tool payload; refer to it only as “the terminal marker.”`,
"Do not call paperclip_finish while confirmation is pending.",
`After that exact Plan revision is accepted, use the current turn completion revision and criterion IDs (CURRENT_TURN_REVISION below is a placeholder, not a literal), then call paperclip_finish exactly once with {reportedWorkDisposition:"done",summary:"${breadthMarker("P_OK", nonce)}",completionClaim:{contractRevision:CURRENT_TURN_REVISION,objectiveSatisfied:true,criteria:[{criterionId:"objective",status:"satisfied",evidenceRefs:[]}],remainingWork:[]},evidence:[],verification:[]}. Wait for that tool call to succeed, then emit exactly ${breadthMarker("P_OK", nonce)} as the complete user-facing final response. Do not write a user-facing final response before paperclip_finish succeeds, and do not call another tool.`,
"Do not create files, child tasks, or unrelated work.",
].join("\n"),
buildMatchers: (nonce, execution) =>
terminalMatchers(breadthMarker("P_OK", nonce), execution),
},
] as const;
const localEnvironment = runnerEnvironments.find(
(environment) => environment.id === "local",
)!;
function warmTurnMarker(turn: 1 | 2 | 3, nonce: string) {
return `PAPERCLIP_E2E_WARM_T${turn}_${nonce}`;
}
function warmWorkspaceLine(turn: 1 | 2 | 3, nonce: string) {
// Issue descriptions are rendered through the native prompt's Markdown
// boundary, which escapes underscores. Keep the byte-level workspace
// sentinel Markdown-inert so both legacy and native providers receive the
// same literal content.
return `T${turn}-${nonce}`;
}
function warmTurnInstructions(turn: 1 | 2 | 3, nonce: string) {
const file = `daytona-warm-${nonce}.txt`;
const lines = Array.from({ length: turn }, (_, index) =>
warmWorkspaceLine((index + 1) as 1 | 2 | 3, nonce),
);
const marker = warmTurnMarker(turn, nonce);
const finalTurn = turn === 3;
const reviewRequests = finalTurn ? [] : [{
kind: "review", ownerClass: "human",
summary: `Review the verified turn ${turn} workspace file and decide whether this task is ready to complete or needs another revision.`,
}];
const legacyCompletion = finalTurn
? `In a legacy runner, make exactly one public-API completion write after verification: PATCH /api/issues/$PAPERCLIP_TASK_ID with {"status":"done","comment":"${marker}"}. Include Authorization and X-Paperclip-Run-Id. Do not POST a separate comment.`
: `In a legacy runner, after verification POST exactly one request_confirmation to /api/issues/$PAPERCLIP_TASK_ID/interactions with {"kind":"request_confirmation","idempotencyKey":"daytona-warm-review-T${turn}-${nonce}","resolverPolicy":"human_only","title":"Warm continuity turn ${turn}","summary":"Review completed warm continuity turn ${turn}.","continuationPolicy":"wake_assignee","payload":{"version":1,"prompt":"Is this warm continuity task ready to complete after turn ${turn}?","acceptLabel":"Approve completion","rejectLabel":"Continue work","rejectRequiresReason":true,"allowDeclineReason":true,"supersedeOnUserComment":false,"target":{"type":"custom","key":"daytona_warm_turn_${turn}","revisionId":"${nonce}-T${turn}","label":"Warm continuity turn ${turn}"}}}. Capture the returned interaction id. Then make exactly one issue PATCH with {"status":"in_review","comment":"${marker}","reviewInteractionId":"<returned interaction id>"}. Include Authorization and X-Paperclip-Run-Id on both writes. If the issue PATCH fails, retry only that PATCH and never create another interaction. Do not POST a separate comment. After both writes succeed, end the response and heartbeat immediately; do not wait or poll because the reviewer action will start the next turn.`;
return [
`This is warm Daytona continuity turn ${turn} of 3. Work only in the current execution workspace.`,
turn === 1
? `Create ${file} with exactly this one line followed by a newline: ${lines[0]}`
: `Before changing anything, read ${file} and verify its content is exactly ${lines.slice(0, -1).join("\\n")} followed by a newline. Then append exactly ${lines.at(-1)} followed by a newline.`,
`After the write, verify ${file} contains exactly these lines, once each and in order: ${lines.join(" | ")}.`,
`In a native runner, use the current turn completion revision and criterion IDs (CURRENT_TURN_REVISION below is a placeholder, not a literal), then call paperclip_finish exactly once with {reportedWorkDisposition:"${finalTurn ? "done" : "needs_review"}",summary:"${marker}",completionClaim:{contractRevision:CURRENT_TURN_REVISION,objectiveSatisfied:true,criteria:[{criterionId:"objective",status:"satisfied",evidenceRefs:[]}],remainingWork:[]},attentionRequests:${JSON.stringify(reviewRequests)},evidence:[],verification:[{commandOrCheck:"read ${file}",status:"passed"}]}. Wait for that tool call to succeed, then emit exactly ${marker} once as the complete user-facing final response.`,
legacyCompletion,
`In a legacy runner, the PATCH comment is the complete visible response. After its 2xx response, finish silently: do not print, echo, or emit ${marker} again as assistant text.`,
`Do not include ${marker} in any other visible response or write. Do not recreate, truncate, reorder, or duplicate prior lines.`,
].join("\n");
}
export const daytonaWarmContinuityTask: RunnerTaskFixture = {
id: "warm-three-turn",
label: "Warm three-turn workspace continuity",
groups: ["warm"],
workMode: "standard",
flow: "warm_three_turn",
expectedRunCount: 3,
attemptTimeoutMs: { local: 30 * 60_000, daytona: 30 * 60_000 },
turnTimeoutMs: 10 * 60_000,
expectedTerminalState: { issue: "done", run: "succeeded" },
buildTitle: (nonce) => `Runner E2E warm Daytona continuity ${nonce}`,
buildVisibleMarker: (nonce) => warmTurnMarker(3, nonce),
buildPrompt: (nonce) => warmTurnInstructions(1, nonce),
buildFollowupMessages: (nonce) => [
warmTurnInstructions(2, nonce),
warmTurnInstructions(3, nonce),
],
buildMatchers(nonce, execution) {
// Workspace persistence is the oracle for this story. Exact response text
// formatting must not mask a valid workspace, but every warm turn still
// needs one visible marker in chronological order. Surrounding provider
// prose is allowed; the occurrence and order matchers grade only markers.
const markers = ([1, 2, 3] as const).map((turn) => warmTurnMarker(turn, nonce));
return [
...markers.map((marker) => ({ kind: "message_occurrences" as const, expected: marker, count: 1 })),
{ kind: "message_ordered" as const, expected: markers },
{
kind: "file_exact",
path: `daytona-warm-${nonce}.txt`,
expected: `${([1, 2, 3] as const)
.map((turn) => warmWorkspaceLine(turn, nonce))
.join("\n")}\n`,
},
{ kind: "issue_status", expected: "done" },
{ kind: "run_status", expected: "succeeded" },
{ kind: "runtime_mode", expected: execution.profile.expectedRuntimeMode },
{ kind: "environment", expected: "daytona" },
];
},
};
const codexContinuityProfiles = runnerProfiles.filter((profile) =>
["legacy-codex", "runner-codex"].includes(profile.id),
);
export const connectionReviewSuite: RunnerSuiteFixture = {
id: "connection-reviews",
label: "Governed Connection Reviews",
description: "Opt-in local review, decision, stored execution, and continuation acceptance.",
groups: ["local"],
profiles: runnerProfiles.filter(profile => ["runner-codex", "runner-acpx-claude", "legacy-codex", "legacy-claude"].includes(profile.id)),
environments: [localEnvironment],
expectedMatrixSize: 16,
tasks: (["approve", "decline", "always", "restart"] as const).map(decision => ({
id: `tool-review-${decision}`, label: `Connection review: ${decision}`, groups: [],
workMode: "standard", flow: "governed_tool_review", toolReviewDecision: decision,
expectedRunCount: 2, attemptTimeoutMs: { local: 12 * 60_000, daytona: 12 * 60_000 },
expectedTerminalState: { issue: "done", run: "succeeded" },
buildTitle: nonce => `Runner E2E connection review ${decision} ${nonce}`,
buildVisibleMarker: nonce => `PAPERCLIP_E2E_REVIEW_DONE_${nonce}`,
buildPrompt: nonce => [
'Use the installed connection action "List fixture pages" with query "recent". Discover it through the runtime tool gateway. Do not simulate or invent its result.',
'It requires human approval. When approval_required is returned, do not retry and do not create another interaction. End the turn waiting for that existing server-owned review; leave this task in_review. Do not claim completion before the decision arrives.',
'Approval executes the stored call on the server. Your continuation receives its result; do not repeat that approved call. A decline executes nothing and must be respected.',
...(decision === "always" ? ['After the approved result arrives, call the same action once more with query "changed arguments" to verify the remembered permission.'] : []),
`After consuming the real result (or the human decline), finish the task and publish exactly PAPERCLIP_E2E_REVIEW_DONE_${nonce} once as your final task response.`,
'For native runners use paperclip_finish. Legacy runners PATCH the task with status done and the final comment. Do not create unrelated work.',
].join("\n"),
buildMatchers: (nonce, execution) => terminalMatchers(`PAPERCLIP_E2E_REVIEW_DONE_${nonce}`, execution),
})),
};
const everydayProfiles = [
...runnerProfiles.filter(profile => ["runner-codex", "runner-acpx-claude"].includes(profile.id)),
nativeProfile({ id: "runner-codex-mini", label: "Runner Codex Mini", provider: "codex", model: "gpt-5.4-mini", modelQualification: {source:"qualified_runner_profile",qualificationId:"everyday-codex-mini-pilot"}, credential: "OPENAI_API_KEY", supportedEnvironments: ["local"] }),
].map(productionStoryProfile);
export const runnerSuites: readonly RunnerSuiteFixture[] = [
{
id: "continuation-accounting", label: "Continuation accounting baseline", manualOnly: true,
description: "Structured productive steps, bounded repair, restart and late gates; comments cannot buy more attempts.",
groups: ["local"], environments: [localEnvironment], profiles: codexContinuityProfiles.map(productionStoryProfile),
tasks: accountingTasks, expectedMatrixSize: 8,
excludedExecutionIds: accountingTasks.filter(t => !t.id.includes("productive")).map(t => `continuation-accounting.runner-codex.local.${t.id}`),
definitionMetadata: { version: 4, grading: "accounting-v4-cancellation-evidence", scheduling: "explicit-only", providerTurns: "five productive, three repair, two executed plus one cancelled for Stop" },
},
{
id: "lifecycle-baseline", label: "Lifecycle authority baseline", manualOnly: true,
description: "Paired narrative probes plus real stop/resume and governed-action controls; live browser/server/database/provider execution.",
groups: ["local"], environments: [localEnvironment],
profiles: codexContinuityProfiles.map(productionStoryProfile),
tasks: [...lifecycleLiveTasks,
...chatTasks.filter(task => ["clarify-reuse", "stop-new-resume"].includes(task.id)),
...connectionReviewSuite.tasks],
expectedMatrixSize: 46,
excludedExecutionIds: ["neutral", "challenge"].map(variant => `lifecycle-baseline.runner-codex.local.lifecycle-repair-${variant}`),
definitionMetadata: { version: 1, narrativeDigest: lifecycleLiveDefinitionDigest, grading: "durable-state-and-attributed-narrative", scheduling: "explicit-only" },
},
{
id: "continuation", label: "Task continuation",
description: "Human direction, approval boundaries, untrusted evidence, and completed actions across turns.",
groups: ["local"], environments: [localEnvironment],
profiles: runnerProfiles.filter(profile => ["legacy-codex", "legacy-claude", "runner-codex", "runner-acpx-claude"].includes(profile.id)).map(productionStoryProfile),
tasks: continuationTasks, expectedMatrixSize: 23,
excludedExecutionIds: [
...["legacy-codex", "legacy-claude"].map(profile => `continuation.${profile}.local.question-tool-documentation`),
...["legacy-codex", "legacy-claude", "runner-codex"].map(profile => `continuation.${profile}.local.provider-question-bridge`),
],
definitionMetadata: { version: 4, grading: "durable-state-and-approval-boundaries", instructions: "production" },
},
{
id: "everyday-workflows", label: "Everyday Paperclip Work", manualOnly: true,
description: "Real user requests, useful downloaded work, and durable continuation using production instructions.",
groups: ["native"], profiles: everydayProfiles, environments: [localEnvironment, daytonaWarmEnvironment],
tasks: everydayTasks, expectedMatrixSize: 47,
excludedExecutionIds: [...everydayProfiles.flatMap(profile => everydayTasks
.filter(task => !["build-revise", "delegate-feedback", "recover-controller", "create-skill-studio"].includes(task.id))
.map(task => `everyday-workflows.${profile.id}.daytona.${task.id}`))],
definitionMetadata: { version: 3, instructions: "production", grading: "outcome-and-invariants", scheduling: "explicit-only" },
},
{
id: "first-task", label: "First-task onboarding",
description: "Production onboarding, first replies, approval, and durable task execution.",
groups: ["onboarding"],
profiles: runnerProfiles.filter(profile => ["legacy-codex", "legacy-claude", "runner-codex", "runner-acpx-claude"].includes(profile.id)),
environments: [localEnvironment], tasks: firstTaskTasks, expectedMatrixSize: 52,
definitionMetadata: { version: 3, credentialPersistenceCheck: false, questionChoiceMinimum: 2, nativeSetup: "post-onboarding-runtime-switch", productionInstructions: true, qualityGrading: "informational" },
},
{
id: "agent-chat", label: "Persistent Agent Chat",
description: "Task-backed conversations, session resets, and project plan handoff.",
groups: ["chat"],
profiles: runnerProfiles.filter(profile => ["legacy-codex", "legacy-claude", "runner-codex", "runner-acpx-claude"].includes(profile.id)).map(defaultPermissionProfile),
environments: [localEnvironment], tasks: chatTasks, expectedMatrixSize: 28,
excludedExecutionIds: ["legacy-codex", "legacy-claude"].flatMap(profile => ["reassign-task", "create-backlog"].map(task => `agent-chat.${profile}.local.${task}`)),
definitionMetadata: { version: 6, resetRunsCountedSeparately: true, permissions: "production-defaults", stopBoundary: "provider-turn-started", restartMemory: "required-after-restart" },
},
{
id: "agent-chat-hardening", label: "Agent Chat Recovery and Coordination", manualOnly: true,
description: "Native chat startup cancellation, committed sends, hiring, grounded status, and remote continuity.",
groups: ["chat", "native"],
profiles: runnerProfiles.filter(profile => ["runner-codex", "runner-acpx-claude"].includes(profile.id))
.map(profile => productionStoryProfile(defaultPermissionProfile(profile))),
environments: [localEnvironment, daytonaWarmEnvironment], tasks: chatHardeningTasks, expectedMatrixSize: 18,
excludedExecutionIds: ["runner-codex", "runner-acpx-claude"].flatMap(profile =>
["stop-startup-new-resume", "hire-delegate-reuse", "blocked-status-review"].map(task => `agent-chat-hardening.${profile}.daytona.${task}`)),
definitionMetadata: { version: 5, permissions: "production-defaults", instructions: "production", grading: "durable-state-and-source-evidence", scheduling: "explicit-only", restartMemory: "required-after-restart", statusEvidence: "structured-current-blocker-and-active-run-count", readOnlyState: "public-mutation-contract-and-relations", hiringReference: "neutral-document-reference-line" },
},
{
id: "agent-chat-stories", label: "Agent Chat Setup and Interruptions", manualOnly: true,
description: "Experimental settings lifecycle and user follow-ups during active native work.",
groups: ["chat", "native"],
profiles: runnerProfiles.filter(profile => ["runner-codex", "runner-acpx-claude"].includes(profile.id))
.map(profile => productionStoryProfile(defaultPermissionProfile(profile))),
environments: [localEnvironment], tasks: chatStoryTasks, expectedMatrixSize: 6,
definitionMetadata: { version: 3, setup: "configured-native-agent", permissions: "production-defaults", interruptionBoundary: "provider-file-wait-in-agent-workspace", grading: "persisted-comments-and-plan-run-attributed", scheduling: "explicit-only" },
},
{
id: "agent-chat-qualification", label: "Agent Chat Remaining Qualification", manualOnly: true,
description: "Active ownership transfer, user recovery after worker loss, and grounded answer quality.",
groups: ["chat", "native"],
profiles: runnerProfiles.filter(profile => ["runner-codex", "runner-acpx-claude"].includes(profile.id))
.map(profile => productionStoryProfile(defaultPermissionProfile(profile))),
environments: [localEnvironment], tasks: chatQualificationTasks, expectedMatrixSize: 6,
definitionMetadata: { version: 9, permissions: "production-defaults", instructions: "production", crashBoundary: "verified-native-worker-pid-at-file-wait", recovery: "new-user-message-after-verified-cleanup", answerGrading: "exact-grounded-propositions-plus-separate-semantic-review", scheduling: "explicit-only" },
},
{
id: "completion-updates", label: "Delegated Completion Updates", manualOnly: true,
description: "Observe completion delivery and result access in onboarding and idle Agent Chat; prose requires separate semantic review.",
groups: ["chat", "native"],
profiles: runnerProfiles.filter(profile => ["runner-codex", "runner-acpx-claude"].includes(profile.id))
.map(profile => productionStoryProfile(defaultPermissionProfile(profile))),
environments: [localEnvironment],
tasks: [...firstTaskTasks.filter(task => task.id === "interview-plan-accept"), ...chatCompletionTasks],
expectedMatrixSize: 4,
definitionMetadata: { version: 6, instructions: "production", idleBoundaryTimeoutMs: 180_000, workerBriefTimeoutMs: 240_000, workerBriefWorkspace: "managed-project", workerBriefEvidence: "released-start-time", grading: "post-completion-reply-and-result-access", semanticReview: "required-separately", chatBoundary: "worker-gated-until-source-idle", observationWindowMs: 120_000, scheduling: "explicit-only" },
},
...(process.env.PAPERCLIP_RUNNER_E2E_CONNECTION_REVIEWS === "1" ? [connectionReviewSuite] : []),
{
id: "core-compatibility",
label: "Core Runner Compatibility",
description:
"Major provider, runtime generation, and execution-environment compatibility.",
groups: ["core"],
profiles: runnerProfiles,
environments: runnerEnvironments,
tasks: runnerTasks,
expectedMatrixSize: 42,
},
{
id: "local-session-integrity",
label: "Local Session Integrity",
description:
"Structured interaction and continuation qualification for every supported local profile.",
groups: ["core"],
profiles: runnerProfiles,
environments: [localEnvironment],
tasks: localIntegrityTasks,
expectedMatrixSize: 14,
},
{
id: "openrouter-model-breadth",
label: "OpenRouter Model Breadth",
description:
"Weekly-ranked tool-capable OpenRouter models through native OpenCode on isolated local workspaces.",
groups: ["breadth"],
profiles: openRouterBreadthProfiles,
environments: [localEnvironment],
tasks: openRouterBreadthTasks,
excludedExecutionIds: openRouterBreadthExcludedExecutionIds,
expectedMatrixSize: 10,
definitionMetadata: {
rankingSnapshotId: openRouterRankingSnapshot.snapshotId,
rankingContentHash: openRouterRankingSnapshot.contentHash,
rankingCapturedAt: openRouterRankingSnapshot.capturedAt,
rankingSourceUrl: openRouterRankingSnapshot.sourceUrl,
excludedModelIds: openRouterBreadthExcludedModelIds,
excludedExecutionIds: openRouterBreadthExcludedExecutionIds,
},
},
{
id: "daytona-warm-continuity",
label: "Daytona Warm Continuity",
description:
"Three browser-driven turns on one reusable Daytona sandbox for legacy and native Codex.",
groups: ["daytona", "warm"],
profiles: codexContinuityProfiles,
environments: [daytonaWarmEnvironment],
tasks: [daytonaWarmContinuityTask],
expectedMatrixSize: 2,
},
] as const;
export function suiteDefinitionHash(suite: RunnerSuiteFixture) {
return createHash("sha256")
.update(
JSON.stringify({
id: suite.id,
profiles: suite.profiles.map((profile) => ({
id: profile.id,
model: profile.model,
qualification: profile.modelQualification,
})),
environments: suite.environments.map((environment) => ({
id: environment.id,
configurationKey: environment.configurationKey ?? "default",
})),
tasks: suite.tasks.map((task) => ({
id: task.id,
flow: task.flow,
expectedRunCount: task.expectedRunCount,
...(task.minimumExpectedRunCount === undefined ? {} : { minimumExpectedRunCount: task.minimumExpectedRunCount }),
restartServerBeforeQuestionAnswer:
task.restartServerBeforeQuestionAnswer ?? false,
})),
excludedExecutionIds: [...(suite.excludedExecutionIds ?? [])].sort(),
metadata: suite.definitionMetadata ?? null,
}),
)
.digest("hex");
}
export function buildRunnerMatrix(
suites: readonly RunnerSuiteFixture[] = runnerSuites,
): MatrixExecution[] {
return suites.flatMap((suite) => {
const excludedExecutionIds = new Set(suite.excludedExecutionIds ?? []);
return suite.profiles.flatMap((profile) =>
suite.environments
.filter((environment) =>
profile.supportedEnvironments.includes(environment.id),
)
.flatMap((environment) =>
suite.tasks
.map((task) => ({
id: `${suite.id}.${profile.id}.${environment.id}.${task.id}`,
suite,
suiteDefinitionHash: suiteDefinitionHash(suite),
profile,
environment,
task,
groups: [
...new Set([
...suite.groups,
...profile.groups,
...environment.groups,
...task.groups,
]),
],
requiredCredentials: [
profile.credential,
...(environment.credential ? [environment.credential] : []),
],
}))
.filter((execution) => !excludedExecutionIds.has(execution.id)),
),
);
});
}
function duplicateIds(values: readonly { id: string }[]) {
const seen = new Set<string>();
return values
.map((value) => value.id)
.filter((id) => {
if (seen.has(id)) return true;
seen.add(id);
return false;
});
}
function assertNoRawSecretValues(value: unknown, label: string) {
if (typeof value === "string") {
if (/\b(?:sk-(?:proj-)?|sk-ant-)[A-Za-z0-9_-]{12,}\b/.test(value)) {
throw new Error(`${label} contains a raw secret-looking value`);
}
return;
}
if (Array.isArray(value)) {
value.forEach((entry) => assertNoRawSecretValues(entry, label));
return;
}
if (value && typeof value === "object") {
Object.entries(value).forEach(([key, entry]) => {
if (
typeof entry === "string" &&
/(?:api.?key|access.?token|credential|secret)$/i.test(key) &&
entry.trim()
) {
throw new Error(`${label} contains a raw credential at ${key}`);
}
assertNoRawSecretValues(entry, label);
});
}
}
export function validateRunnerCatalog(): MatrixExecution[] {
const allProfiles = [...runnerProfiles, ...openRouterBreadthProfiles, ...everydayProfiles.filter(p => !runnerProfiles.some(existing => existing.id === p.id))];
const allTasks = [
...accountingTasks,
...lifecycleLiveTasks,
...continuationTasks,
...everydayTasks,
...runnerTasks,
...localIntegrityTasks,
...openRouterBreadthTasks,
daytonaWarmContinuityTask,
];
for (const [label, values] of [
["suite", runnerSuites],
["profile", allProfiles],
["environment", runnerEnvironments],
["task", allTasks],
] as const) {
const duplicates = duplicateIds(values);
if (duplicates.length > 0)
throw new Error(
`Duplicate ${label} fixture ids: ${duplicates.join(", ")}`,
);
}
const selectableGroups = new Set<string>(SELECTABLE_GROUPS);
for (const fixture of [
...runnerSuites,
...allProfiles,
...runnerEnvironments,
daytonaWarmEnvironment,
...allTasks,
]) {
const unknownGroups = fixture.groups.filter(
(group) => !selectableGroups.has(group),
);
if (unknownGroups.length > 0) {
throw new Error(
`Fixture ${fixture.id} declares unknown groups: ${unknownGroups.join(", ")}`,
);
}
}
const sampleRefs = Object.fromEntries(
[
"OPENAI_API_KEY",
"ANTHROPIC_API_KEY",
"OPENROUTER_API_KEY",
"DAYTONA_API_KEY",
].map((name, index) => [
name,
{
type: "secret_ref" as const,
secretId: `${String(index + 1).padStart(8, "0")}-1111-4111-8111-111111111111`,
version: "latest" as const,
},
]),
);
for (const environment of [...runnerEnvironments, daytonaWarmEnvironment]) {
const payload = environment.buildEnvironment({
secretRefs: sampleRefs,
daytonaImage:
"ghcr.io/paperclipai/paperclip-daytona-runner@sha256:aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
executionId: "schema-validation",
});
createEnvironmentSchema.parse(payload);
assertNoRawSecretValues(payload, `environment ${environment.id}`);
}
for (const profile of [...allProfiles, ...everydayProfiles]) {
if (!CREDENTIAL_NAMES.includes(profile.credential)) {
throw new Error(
`Profile ${profile.id} declares unknown credential ${profile.credential}`,
);
}
const unsupportedEnvironmentIds = profile.supportedEnvironments.filter(
(environmentId) => !ENVIRONMENT_IDS.includes(environmentId),
);
if (unsupportedEnvironmentIds.length > 0) {
throw new Error(
`Profile ${profile.id} declares unknown environments: ${unsupportedEnvironmentIds.join(", ")}`,
);
}
const payload = profile.buildAgent({
environmentId: SAMPLE_UUID,
environmentFixtureId: "local",
workspacePath: "/tmp/paperclip-runner-e2e-schema",
secretRefs: sampleRefs,
executionId: "schema-validation",
});
createAgentSchema.parse(payload);
assertNoRawSecretValues(payload, `profile ${profile.id}`);
}
const matrix = buildRunnerMatrix();
const duplicateMatrixIds = duplicateIds(matrix);
if (duplicateMatrixIds.length > 0) {
throw new Error(
`Duplicate matrix execution ids: ${duplicateMatrixIds.join(", ")}`,
);
}
for (const suite of runnerSuites) {
const suiteSize = matrix.filter(
(execution) => execution.suite.id === suite.id,
).length;
if (suiteSize !== suite.expectedMatrixSize) {
throw new Error(
`Expected ${suite.expectedMatrixSize} ${suite.id} executions; received ${suiteSize}`,
);
}
}
const expectedTotal = runnerSuites.reduce((total, suite) => total + suite.expectedMatrixSize, 0);
if (matrix.length !== expectedTotal)
throw new Error(`Expected ${expectedTotal} runner executions; received ${matrix.length}`);
return matrix;
}
export const runnerMatrix = validateRunnerCatalog();
export function runnerExecutionById(id: string): MatrixExecution {
const execution = runnerMatrix.find((candidate) => candidate.id === id);
if (!execution) throw new Error(`Unknown runner E2E execution id: ${id}`);
return execution;
}