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## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Users connect accounts and choose an agent harness and model. > - The runtime change in #14970 supports custom providers on those connections. > - Normal setup must stay simple while advanced users can choose a compatible gateway. > - Shared connector rows and access controls keep these choices consistent. > - This pull request refines the agent setup UI and adds review stories and repeatable browser qualification. > - The qualification checks real tools and downloaded outputs, not only a successful run status. ## Linked Issues or Issue Description Refs #14970, #37, #13083, #14104, #14565, #12692. The core implementation in #14970 is merged. This branch incorporates its squash commit and targets `master`. Both PRs contain our implementation. #14016 is a reference only and is not a dependency. This PR has 96 changed files. ## What Changed - Complete model-provider connector presentation beside other connectors. Each row uses the existing Connect action and connection list. Tags are stored without category UI. The base PR includes the provider forms and routes. - Show persistent Subscription, API Key, and Advanced choices. Label Advanced as Custom Gateway. Reuse provider logos, connection lists, and permissions controls. Default access to the organization and all agents when permitted; keep narrowing controls under Advanced. - Keep Configure reachable before subscription sign-in, so users can select a supported environment when the default cannot sign in. Testing and saving still require a connection. Show the execution environment in Configure. Preserve the confirmed Connect choice. Editing a method, credential, saved account, or advanced choice requires that current choice to connect before testing or saving. Use matching model and thinking-effort dropdowns and retain connection icons in selected values. - Preserve the new harness model default when switching an existing OpenCode agent to Codex or Claude, and resolve user-selected model names with the effective harness. - Load popular OpenRouter models through the shared connection-model discovery path. Keep explicit model lists and manual model entry available. - Group onboarding, connection setup, agent runtime, management, recovery, and production-component stories under AI Connections / Provider routing. - Add an explicit-only provider-connections browser suite for managed local or existing local/staging targets. Use private browser profiles and credential handoffs. Support human-assisted subscription sign-in without sharing passwords or tokens in reports. - Verify persisted connection identity, runtime probes, tool execution, exact artifact bytes, completion, and context-dependent follow-up. Retain source/model provenance, cost bounds, closed error diagnostics, original failures, and cleanup evidence. - Add Gemini startup-model and skill-root fixes, Grok private-history detection, ACP filesystem regression fixtures, selected-workspace handling for local Hermes, and artifact-helper workspace fallback. - Keep managed Grok runtime homes disposable. Remove host-side transcript retention/restoration because private file modes do not isolate same-user agent processes. Ignore earlier development archives and use a fresh task handoff when history is unavailable. Verify the absence of restored transcripts with a separate same-user process. - Capture stopped-run diagnostics before deleting an attached-company fixture agent. Track creation and owned sign-in receipts; revoke only this attempt's accounts and never adopt a concurrent campaign's newly created account. Preserve failure signals and final status through cleanup. - Require the requested environment in the saved agent and every run, including follow-ups. Reject a forced incompatible target. Keep one cancellation state through startup, every cell, reporting, and teardown for SIGINT, SIGTERM, and SIGHUP. Stop further paid cells after interruption. Document qualification limits. ## Verification - Current head `b3bb3e94d577d43d9965a6b9daba039f599b2e49` includes master `d9f600043`. The security fix in `a758fde31` passes full workspace typecheck, production build, and 119 connection/Grok regressions. The unchanged UI passes all 126 configuration/model-discovery tests and token gates. The final published-guide correction passes Grok adapter typecheck. Earlier head `eebd8225c` passed the complete deterministic runner suite (1,404 Vitest tests and 128 Node tests) and all CI jobs. Current-head CI run `37520147514` passed all 47 jobs, including the full sharded Vitest and browser matrix, production build, and canary dry run. All 55 checks completed: 53 successes and two expected skips. The current-head security scan passed, Greptile is 5/5, and no review threads remain open. - A separate same-user process reproduced reading a restored Grok transcript before the security fix. The regression now finds no transcript. Existing fresh-session fallback and ordinary session metadata behavior pass. - The final account-choice and cleanup fixes pass 85 setup tests and 26 qualification-harness tests. Regressions verify that editing a connection invalidates confirmation, Configure remains reachable before sign-in, diagnostics are captured before fixture deletion, and concurrent campaigns cannot adopt or revoke each other's accounts. UI and E2E typechecks pass. - The Storybook build and actual Chromium production-component stories passed during this change. Review the neighboring AI Connections / Provider routing stories, regular connector rows, three connection modes, model discovery, and the single execution-environment control in Configure. - Cancellation smoke verified authenticated cleanup before browser close for SIGINT, SIGTERM, and SIGHUP. Regressions cover interruption during startup and reporting, missing-file ACP resource errors, and preserved permission denials. Both ACP runtime versions and 54 ACPX/Grok regressions passed. The deterministic connection-intent browser suite passed two tests. - Historical local qualification retained 43 passing API/gateway cells out of 46, with downloaded outputs and follow-up receipts. These attempts span earlier builds; they do not qualify this exact commit or staging. Subscription combinations, Gemini overloads, and the unresolved follow-up failure remain recorded rather than counted as passing. - Use `pnpm test:e2e:runner -- --list --suite provider-connections` to inspect the matrix. Follow `tests/runner-e2e/PROVIDER-CONNECTIONS.md` for credentials, target URL, sign-in assistance, budget, evidence, and cleanup. Paid live tests remain opt-in. ## Risks - The core implementation in #14970 is merged. This PR adds no database migration of its own. - Subscription login needs an interactive provider session. Dedicated accounts and staging qualification remain follow-up work; this PR does not certify every login combination for production. - Managed Grok transcript resume is deferred until provider history has an OS isolation or authorized broker solution. Follow-ups start fresh with Paperclip task context; earlier live Grok results do not qualify this behavior. - Gemini CLI 0.58.0 has an upstream ACP new-file error conversion defect. Live overloads and one unresolved follow-up timeout remain recorded. The stock CLI is unchanged, and those cases are not marked as passing. - Real-provider tests spend credits and use private credential/evidence directories. The launcher requires explicit selection and checks target ownership. It must not attach to a developer's database by accident. - OpenClaw Gateway, Hermes Gateway, Claude Managed, AWS AgentCore, Process, HTTP, and legacy ACPX local remain outside custom provider setup. ## Model Used OpenAI GPT-6 through Codex, with reasoning, repository tools, code execution, and browser testing. The exact deployment model ID and context window size were 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>
353 lines
20 KiB
Markdown
353 lines
20 KiB
Markdown
# Runner E2E fixture authoring
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## Connection creation fixtures
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See [PROVIDER-CONNECTIONS.md](PROVIDER-CONNECTIONS.md) for the explicit-only
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`provider-connections` suite, local/staging target ownership, dedicated browser
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profiles, credential handoffs, private evidence, and cleanup contract.
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The [public MCP journeys](PUBLIC-MCP.md) reuse the fixture registry with a real
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authenticated browser session. `RunnerApi.setBrowserSession` binds that session
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to API calls, including encrypted secret provisioning via Node fetch. OAuth
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setup stays outside model context. The external assistant receives the catalog
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from `tools/list` and the shipped workflow skills; its calls execute against the
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real SDK transport. Client-side loss of a successful response is the sole fault
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injection in the uncertain-retry case. Task/run/document REST reads own grading.
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The fixture catalog is executable production-contract data. Keep it small,
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typed, deterministic, and free of raw credentials.
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## Suites and matrices
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A `RunnerSuiteFixture` declares one durable testing purpose: stable ID, label,
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description, profiles, environments, cases, expected size, and definition or
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ranking metadata. Its execution IDs are globally prefixed as
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`<suite>.<profile>.<environment>.<case>`. Add a new suite when the testing
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purpose or desired cross-product differs; do not inflate an existing suite with
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unrelated dimensions.
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The suite definition fingerprint is historical comparison metadata. Any
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profile, model qualification, environment, task, or ranking-snapshot change
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must change that fingerprint automatically so the dashboard can annotate the
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boundary instead of silently joining unlike totals.
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The explicit [stock-harness suite](STOCK-HARNESS.md) wraps existing profiles with
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`productionDefaultHireProfile`: omit only `instructionsBundle` so the public
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hire route loads the shipped default, while preserving runtime, permissions,
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auth, skills, and managed secret references. Do not replace this with a fixture
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copy of the default manual. Public receipts check the exact independently
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specified bundle before provider execution and again during cleanup, along with
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both budget hard stops and actual legacy invocation prompts. Missing evidence
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fails closed. The definition fingerprint includes the helper, graders, journey
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sources, live fixture, and execution integration; editing those sources changes
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the suite revision automatically.
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## Agent profiles
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Add `RunnerProfileFixture` entries in `catalog.ts`. A profile declares:
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- a stable ID and searchable groups;
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- legacy or native generation;
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- adapter/provider and required credential;
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- a model imported from its adapter constant or qualified runner profile;
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- supported environment IDs;
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- expected runtime metadata; and
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- an agent payload factory.
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Do not duplicate model IDs, qualification decisions, CLI versions, or runner
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artifact rules. Codex profiles import `DEFAULT_CODEX_LOCAL_MODEL`, OpenCode
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profiles import `QUALIFIED_OPENCODE_MODEL`, and ACPX profiles import
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`QUALIFIED_ACPX_PROFILES`. Add or qualify models at their owning production
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source first.
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OpenRouter breadth profiles are generated from `openrouter-models.json`, not
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written by hand. That reviewed snapshot must contain exactly five unique,
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available, tool-capable models with rank, canonical ID, display name, supported
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parameters, source URL, capture time, and verified content hash. Refresh it
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manually with `pnpm test:e2e:runner:models:update`; nightly campaigns never
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change fixture definitions.
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Agent `adapterConfig.env` values must be `{type:"secret_ref", secretId,
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version:"latest"}` objects supplied to the factory. A fixture source containing
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a raw secret-looking value is rejected by catalog validation.
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The manual Grok subscription profile uses `GROK_AUTH_JSON` as an explicit login
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fixture. It does not put this credential in agent configuration or substitute an
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API key. Setup seeds a new company-scoped Grok home inside the disposable instance
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with mode 0700 and an exclusive mode-0600 auth file. Setup rejects redirected,
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occupied, or nonisolated homes. Production runner discovery and refresh operate on
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that company login; teardown destroys it after the remote environment is removed.
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This fixture tests subscription execution, not the interactive browser login flow.
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## Environments
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An `EnvironmentFixture` declares driver/provider, credential requirements,
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attempt deadline, lifecycle behavior, expected execution target, and a payload
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factory validated by the shared environment schema.
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The local environment is instance-managed: company creation ensures it exists,
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and the public API intentionally rejects a second local environment. The setup
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registry therefore discovers that row through the public environments API.
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This still provides full isolation because every cell starts a new Paperclip
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instance and database.
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Daytona creates sandbox environments through the public API. The core fixture
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keeps `reuseLease:false` and `runnerLifecycleMode:"per_turn"`. The dedicated
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warm-continuity fixture uses `reuseLease:true` and
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`runnerLifecycleMode:"warm"`; its distinct `configurationKey` is part of the
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suite fingerprint even though both fixtures report `environmentId:"daytona"`.
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Keep short provider cleanup backstops, a Daytona secret reference, and an
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immutable image digest. Teardown
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must delete the environment with reusable-lease destruction and must fail the
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cell if cleanup cannot be confirmed. Keep CPU, memory, and disk explicit: lease
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metadata and the per-test public-list-price runtime estimate depend on that
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pinned billable resource shape. Changing it requires updating billing tests and
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reviewing the versioned Daytona rates in `billing.ts`.
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## Usage and billing data
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Do not add fixture-authored token or dollar expectations. The live harness
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reads usage from selected public heartbeat-run records and records coverage per
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run. Provider-reported dollars remain distinct from runtime estimates. A zero
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or missing native usage payload is `unavailable` unless a real token-bearing
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receipt or provider cost proves otherwise. New execution environments must
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provide lease/resource metadata for a runtime estimate or explicitly remain
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`unavailable`; never infer that missing billing data means free execution.
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Future providers (SSH, E2B, Modal, Cloudflare, Kubernetes, Novita, exe.dev)
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should implement the same setup/probe/cleanup contract before being added to a
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matrix. Unsupported profile/environment combinations belong in
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`supportedEnvironments`, not in ad hoc test conditionals.
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## Task cases and matchers
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A `RunnerTaskFixture` owns a work mode, a typed flow, expected run count,
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nonce-based title/prompt/marker factories, per-environment attempt deadlines,
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deterministic matchers, and expected terminal state. Single-turn prompts should
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make one bounded request with observable output and no nondeterministic judging.
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The `plan_revision_acceptance` flow must also provide revision-request and Plan
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marker factories. `question_resume_completion` must define the deterministic
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browser answer and prove exactly two successful runs with no pending
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interaction. `plan_approval_completion` must target the exact two-step
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canonical Plan revision, capture its pending UI, approve in the browser, and
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prove exactly two successful runs. `warm_three_turn` provides exactly two
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browser follow-up messages, preserves one project/execution-workspace scope,
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verifies host file contents after every turn, and finishes within three
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ten-minute turn deadlines. The ordinary warm fixture uses managed instructions,
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updates AGENT_HOME each turn, and verifies memory, an unchanged 8 MiB binary and
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a deletion through public file APIs. Native turns 2 and 3 must copy/hash only the
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changed memory file, with a saved receipt and the same provider PID. Journal and
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Git stress fixtures retain fixed external bundles as controls. Keep the stable-PID
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oracle strict; `instruction-persistence` also covers cold restarts and quota handling.
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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.
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Every selected case runs in its own isolated Paperclip process, and independent
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cases may run concurrently. Follow-up turns inside one case retain their shared
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task state. Each case creates and tears down its own company, secrets,
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environment selection, agent, and browser-created task. The current plan case
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proves three runs on the same issue: publish a two-step Plan,
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request a three-step revision through the UI, and accept the exact new revision
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through the UI before verifying implementation and Done.
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The matcher union supports message exact/contains/regex/ordered checks, issue
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and run state, runtime/environment metadata, files, artifacts, JSON paths, and
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JSON Schema. The initial cases use normalized `message_contains` plus state,
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runtime, and environment assertions; the plan flow additionally verifies
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canonical document revision IDs, bodies, step counts, interaction targets, and
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visible previews. Add matcher behavior and credential-free tests together.
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Adding a task expands its suite's matrix. Update the suite's intentional size,
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the complete-catalog size, and credential-free unit tests in the same change.
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Paid tests never silently skip a missing credential or unsupported artifact.
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## Prompt-only task title fixtures
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`task-titles.ts` defines a bounded ordinary writing request and an independent
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title oracle. Its `single_turn` cases leave the title field empty or supply an
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explicit control title. The harness captures the exact browser creation response
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instead of searching by a title that the agent may already have changed. It
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never patches the title itself. Normal production instructions own the early
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naming behavior; fixture prompts and agent instruction bundles contain no naming
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hints. Existing company/secret/environment/agent registry dependencies are reused,
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with 500-cent company and agent budgets and normal instance teardown.
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Keep the call input, successful result, execution receipt, saved task, and
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agent/run-attributed audit correlated. Missing evidence must fail. The first-five
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tool-call bound counts calls in the initial provider run, including discovery.
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The title must describe API-key rotation without requiring one exact wording.
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The control must retain its title throughout, not merely restore it at the end.
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The source digest versions the grader and request in catalog metadata. See
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[Automatic task titles](README.md#automatic-task-titles) for live selectors,
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coverage limits, evidence, and calibration.
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## New Paperclip object fixtures
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The explicit-only `lifecycle-baseline` suite reuses this registry and existing
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continuation, chat and governed-action flows. Its narrative pairs require actual
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agent/run-attributed comments or exact visible responses. See
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[the live baseline contract](LIFECYCLE-BASELINE.md) for selectors and proof boundaries.
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Register new objects in `live-fixtures.ts` with explicit dependencies in
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`FixtureRegistry`. Setup must use a public API. Teardown runs in reverse order
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and is invoked after partial setup failures. Direct database writes and private
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test-only runner endpoints are prohibited.
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The expected dependency shape is:
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```text
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company
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└── encrypted secrets
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└── environment
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└── agent
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└── browser-created task
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```
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Projects, goals, apps, and configuration fixtures can be inserted into that
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graph without changing the launcher. Keep returned fixture state to IDs and
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sanitized metadata; never retain raw secret values.
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## Required checks
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Run before a fixture change is reviewed:
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```bash
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pnpm test:e2e:runner:unit
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pnpm test:e2e:runner:typecheck
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pnpm test:e2e:runner -- --list
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```
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Then run the narrowest paid cell that exercises the fixture. A full matrix is a
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manual or scheduled campaign, not a PR requirement.
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## Persistent chat fixtures
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`chat-cases.ts` defines the eight-case `agent-chat` suite; `chat-flow.ts` drives the
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production composer, plan revision/approval controls, questions, reset command,
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and project cards. Keep its 28 local cells intentional. `expectedRunCount`
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counts provider turns, including cancelled and handed-off task runs, but excludes
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synthetic `/new` runs. Assertions must inspect all company runs because ordinary
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issue lists exclude the source conversation. `assertChatHandoff` rejects missing
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projects/plans, chat children, wrong assignees, and execution before plan commit.
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Retained `api-state.json`, `chat-handoff.json`, and plan-revision evidence
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include persisted comments, session generations, run context and logs, project
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workspaces, task documents, and ordering. They pass through the normal sanitizer.
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Screenshots are allowlisted to the exact disposable agent chat. Cleanup cancels
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all active runs in the isolated company, including handed-off work; usage from
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failed and cancelled runs must not disappear from campaign totals.
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Warm three-turn continuity grades the exact workspace file after each turn,
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task completion, and sandbox/session identity. It also requires a visible
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persisted final reply with each turn marker once and in order. It does not
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grade exact final-reply wording; the hello
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and continuation fixtures retain those exact-response checks. This separates
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workspace persistence failures from model response-format variance.
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`chat-hardening.ts` adds the explicit-only `agent-chat-hardening` journeys. Use
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the ordinary public APIs to seed source documents and blockers. Keep the answer
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out of the user's status/review request. Grade the exact source values, latest
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blocker, preserved task identities, worker-authored output, and real executions.
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The status request asks for JSON so the grader can distinguish the current
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blocker from a historical mention and compare active-run count separately from
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task status. The request must not reveal those expected values.
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Capture the source after seeding and compare every field in the public issue
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update contract, plus labels, dependencies, and dedicated-endpoint settings.
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Derived inbound references may change when the chat legitimately cites a task.
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The lost-acknowledgement probe may interrupt only the fixture browser's own
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comment request after the real server has committed it. Retain its request ID
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and replay that same request through the public API after restarting the server.
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Never fabricate tool results or repair task state after a failed assertion.
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`chat-stories.ts` seeds an ordinary file wait in the isolated agent's actual
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home workspace; native Codex intentionally cannot see arbitrary host temp files.
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The observed run workspace must match the fixture location. This is a deterministic interruption
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boundary. The real provider command writes the readiness file and waits at most
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two minutes. The harness must persist the next browser message while the same
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run is active before supplying the brief. Always release the wait in `finally`.
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Save boundary observations independently of the final outcome. The final answer
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must recover a brief reference absent from both prompts; the revision oracle
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also reads the actual conversation plan. Fixture setup never enables native API
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tools for this suite. Do not describe its prepared-agent settings case as a
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production onboarding qualification.
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The `agent-chat-qualification` local fixtures use public APIs to seed two workers
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and a task with a saved plan, or read-only tasks with contradictory historical
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comments. Ordinary Node file waits in the isolated agent workspace establish
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observable active execution; no provider output or database outcome is fabricated.
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A worker-crash case sends SIGKILL only to a positively identified running native
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worker PID, then uses the production Retry button. Each gate is released in a
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finally block. Source facts and boundary state are retained with the attempt.
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The lifecycle suite also includes two legacy disposition-repair probes. Their
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first provider turn intentionally omits task disposition, and their second turn
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must be an automatic, causally bound repair that records completion. They use
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public task comments/status APIs and run-detail evidence; no private runtime
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hooks or database mutations are used by the fixture.
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The explicit-only `extended-harnesses` suite uses five bounded journeys for each
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pending ACP candidate on local and Daytona. Candidate profile metadata includes
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the exact authenticated discovery choice without promoting it to a product
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default. Its file case anchors the task to a public project workspace, validates
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the model's claimed result by reading the actual final bytes, and also exercises
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remote copy-back. Keep candidate admission scoped to the selected model and the
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isolated operator environment; ordinary agent configuration must not enable it.
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## Persistent agent files
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The `instruction_persistence` flow uses production managed storage and public file
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APIs. The browser creates a supporting file, then a real agent edits its registered
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AGENT_HOME with ordinary filesystem tools. Independent oracles verify instructions,
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nested text, binary download bytes, and a stopped-run save receipt without new
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revision history. The harness restarts the server and creates a fresh browser task
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without disclosing the saved nonces. Its readback oracle downloads and verifies an
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attachment's bytes and SHA-256, rather than accepting a filename or model claim.
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A third task uploads a ready attachment and waits in an ordinary bounded shell
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command while the board changes the current file through the public API. Stopped
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cleanup must preserve the original candidate as a conflict. The browser reviews
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current and incoming files and applies the run edits against the reviewed current
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directory hash. All three tasks' runs count toward billing and teardown. The suite
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is explicit-only. No private control-plane hooks or direct database writes are used.
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## Direct blocker fixtures
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`blocker-cases.ts`, `blocker-fixtures.ts`, `blocker-flow.ts`, and
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`blocker-scoring.ts` define the explicit local legacy `blocker-guidance` suite.
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Its fixture registry creates a manager through the public API and assigns the
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production operational skill to worker and manager. Company-wide evidence and
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cleanup include unexpected manager runs. The grader checks saved human input,
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requester identity for scope questions, ownership history, no additional work or
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hires, and the browser-answer continuation. See [Direct blocker guidance](README.md#direct-blocker-guidance)
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for coverage boundaries and run commands.
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## Source-derived hiring template fixture
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The explicit `hiring-templates` suite reuses the public company/agent, personal
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managed account and browser chat fixtures. `hiringTemplateProfile` removes the
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custom instruction bundle from the ordinary profile; the real agent creation
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route selects the evaluated revision's CEO bundle. Keep its two local native
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profiles, five expected runs and 15-minute deadline stable for paired runs.
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`isManagedHiringCase` requests the account fixture and `chatNeedsApiTools`
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enables only the existing API-tool path. It adds no private fixture endpoint,
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provider fake or database write.
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`hiring-template-flow.ts` reads the production instructions and company skill
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files through public APIs before dispatch and verifies their hashes against the
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checkout. The public run-events API supplies paginated read evidence after
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execution. `hiring-template-scoring.ts` grades deterministic child documents,
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actual worker identity/account, reuse and source coverage independently of the
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agents' claims. `hiring-template.test.ts` calibrates production Codex/ACPX event
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shapes, wrong/missing/late reads, incorrect/default bundles, source mismatch,
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wrong hire/output, missing durable state, and an admissible historical four-file
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CEO with a long coder role.
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Preserve both dimensions in a comparison: `outcomePassed` describes the work;
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`comparisonStatus` describes whether the expected sources and reads were proven.
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Unprovable provider event shapes are coverage gaps. They must not become a
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passing template comparison or a claimed behavior regression. The existing
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report matcher paths carry the dimension and private final evidence carries the
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explicit status. Provider runs are separately authorized; unit results establish
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oracle calibration only. See the [suite contract](README.md#production-hiring-templates)
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for evidence, budgets, cleanup and exact IDs.
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