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Harness E2E

harness-e2e measures what a Harness stack can execute with correct deliverables, structural integrity, bounded work, and repeatable outcomes.

A run's score is the plain sum of the points its evaluated criteria awarded; a criterion nobody evaluated adds nothing and nothing is normalized or rescaled. Scores preserve measured criterion points independently of completion or resource limits. Criteria do not veto the score or approve a run. Completion, technical validity, artifact evidence, and runtime controls are reported separately; infrastructure and execution failures still fail the CLI.

The repository is intentionally independent from the workers source tree. Runtime discovery, execution, observation, state access, and cleanup all happen through functions registered in iii. The only product input is an immutable subject artifact or an already-running iii stack.

The SWE service suite provides eight isolated engineering tasks and a continuous eight-ticket journey over the same Python service, with optional delegation, immutable checkpoints, isolated verification, and a trusted GitHub handoff. SWE execution requires Linux with /usr/bin/bwrap and enabled unprivileged user namespaces. CI installs the distribution AppArmor profile needed by Bubblewrap. Commands and file operations run inside the attempt workspace; controller files remain outside that boundary.

Binaries

  • harness-e2e is started by Compose and registers the asynchronous e2e::* control plane plus the injectable Console page. Explicit subcommands keep direct scenario execution and report inspection available from the same binary.

Build and validate the repository:

pnpm --dir dashboard install --frozen-lockfile
pnpm --dir dashboard typecheck
pnpm --dir dashboard lint
pnpm --dir dashboard test
pnpm --dir dashboard build
cargo test --locked --all-targets
cargo clippy --locked --all-targets -- -D warnings
node --test tests/dashboard/*.test.cjs
HARNESS_E2E_BIN="$PWD/target/debug/harness-e2e" python3 -m unittest discover -s tests/python -p 'test_*.py'

List the materialized scenarios and their definition digests:

cargo run --locked --bin harness-e2e -- list
cargo run --locked --bin harness-e2e -- catalog

The four Registry scenarios use the regular scenario catalog, execution flow, and scores: registry_planning, registry_implementation, registry_environment, and registry_verification. Each has its own atomic validations.

The Linkly tutorial scenario, linkly_tutorial, runs the seven chapters of the agentic Linkly tutorial plus a project-restart guard as one scripted dialogue on one Harness session, against the linkly-agentic scaffold's own Compose stack, and scores twenty-two deterministic checks. scripts/linkly_stack.py prepares that stack.

The trending topics build scenario uses an isolated per-attempt Git remote and independent Playwright acceptance against the delivered SHA. Its runtime and controls require Linux amd64, Docker, Git, Python 3, Node and access to the pinned fixture. Design is free; screenshots are evidence, not an aesthetic score.

Native criteria preserve known awards when dependent checks cannot run. Those checks have no award and remain not_evaluated; an incomplete criterion set has no total score. Product failures stay technically valid, while infrastructure failures invalidate the run without erasing prior criterion observations.

Every scenario is a built-in module under src/scenarios/ that owns its prompt, setup, deterministic evaluator, and cleanup; the module id is exposed through the CLI, worker catalog, campaign runner, dashboard, and canonical result artifacts. Plans select their scenarios explicitly.

Run against an existing stack:

cargo run --locked --bin harness-e2e -- run \
  --url ws://127.0.0.1:49134 \
  --model codex/gpt-5.6-luna \
  --provider openai-codex \
  --scenario todo_worker_simple

Validate one of the checked-in canonical campaign assets:

python3 scripts/run_e2e_campaign.py config/campaigns/endurance.json --e2e-bin target/debug/harness-e2e --validate-only
python3 scripts/run_e2e_campaign.py config/campaigns/endurance.json --e2e-bin target/debug/harness-e2e --dry-run

Operational campaign execution is dispatched only by Release Control through .github/workflows/exact-stack-e2e.yml. The repository no longer publishes independent daily, weekly, post-deploy, or fault-stress dispatch workflows.

Campaign manifests never select or rotate seeds. They separate replay-safe turns from scripted dialogue and composite flows, persist a summary for every group, and are advisory by default while their longitudinal history is being calibrated. Release Control owns scheduling and dispatch; the executor keeps the result advisory and archives each materialized group through the environment-owned durable archiver. The engineering handoff uses a protected disposable checkout of its dedicated pinned revision of iii-hq/e2e-fixture. shell_coder_sandbox, chess_engine_build, and trend_blog prepare their reviewed fixture automatically from an embedded Git bundle. They require Git, but no fixture checkout or HARNESS_E2E_FIXTURE_PATH configuration. Each attempt operates on a private workspace; temporary source checkouts are removed after their contents are read. typescript_chat_service carries its own frozen skeleton in the repository and needs no checkout, but it does require Node 22.6 or newer on the runner host: the subject's TypeScript application is executed directly through Node type stripping, both by the public suite and by the runner-owned behavioral probe. config/test-plan.json defines the executable profiles: smoke, regression, capability, evolution, resilience, endurance, and software-engineering. In the dashboard these profiles are starting templates for the same plan form and baseline/candidate visualization used by existing plans. Choose New plan, optionally select a template, edit the scope, and select the execution model. Save draft, Save and run, and Duplicate plan use one shared lifecycle and retain native evidence. Fault-injection plans export to the protected executor. See executable profile plans.

cargo run --locked -- test-plan list

The software-engineering profile selects the seven incremental Kanban cases, four Registry cases, the trending-topics blog build and the Linkly tutorial, once each with no technical retries: 13 cases and 13 planned runs. Its twelve execution groups keep Registry implementation and verification together, in that order, so verification receives the implementation delivery. Trending topics runs in its own case-trending-topics-build group using the existing pinned fixture workflow. Linkly runs its eight exchanges in one case-linkly-tutorial group. The executor creates a fresh pinned linkly-agentic scaffold as that group's Compose project, with baseline worker versions taken from the resolved stack contract.

cargo run --locked -- test-plan materialize --profile software-engineering

Templates and execution rules are materialized directly by Rust from the source and native contracts. There are no generated catalogs to synchronize.

Release Control dispatches .github/workflows/exact-stack-e2e.yml directly in this repository with five inputs and no decisions of its own: execution_id, the plan naming one profile of config/test-plan.json, a stack policy ({"policy":"latest"} or exact versions), the executor commit runner_sha, and the cli_version to install.

Everything else is resolved here, from the commit pinned by runner_sha:

  1. harness-e2e test-plan materialize --profile <id> expands the profile into its campaigns, groups and cases, with a profile_sha256 over the result.
  2. scripts/resolve_stack_lock.py turns the stack policy into one exact rc-e2e/v2 contract per campaign — every Registry version resolved, latest never surviving into a contract — which scripts/exact_stack_campaign.py validates as before.
  3. Each group runs in an isolated ephemeral stack; fault groups route to the protected runner; one root bundle is produced without rebuilding the native Harness artifacts.

scripts/report_execution.py posts what was observed to Release Control's run ledger over OIDC: materialized before anything runs, one shard per campaign group whatever that group did, and a summary whatever the finalizer did. Runs come from results.json, or from the journal checkpoints when a group died before writing one; a group that produced neither still reports, saying so. No execution is silently lost.

workers supplies versioned components of the stack under test; it does not orchestrate campaigns.

Console page

Build the worker and its injectable Console page from the repository root:

cargo build --locked --bin harness-e2e

The Rust build creates dashboard/dist-console/page.js and styles.css, then embeds both assets in the worker. Node and pnpm must be available on PATH. When Console connects to the same iii namespace, the worker registers those assets and the e2e::dashboard::* read, plan, run, status and cancellation functions used by the page.

Rust-defined composite scenarios, including the multi-test security_review example, use the current shared result schema and read-only execution projection.

The running Harness must publish request and response schemas compatible with the current typed surface. Missing or incompatible fields fail preflight; no payload-version compatibility mode is available.

The page loads data incrementally through iii: 25 compact summaries on the first overview page, one complete report when an execution is opened, only the selected pair for comparison, and the model/scenario catalog when the run dialog opens. Server-side filtering and cursor pagination keep history growth out of the initial payload. Transport failures stay visible in Console.

The trusted publisher still writes the bounded JSON report archive used by CI and downstream consumers. It does not publish a Harness E2E web application. See dashboard/README.md for the page contract.

Compare a local change with Release Control

The Console's Plans page offers Reference: Release Control to browse RC history through the authenticated Release Control browser bridge. Keep the RC tab open, enable its local Harness connection, and connect it to the same personal Engine as the Console. The bridge needs the E2E read functions from the companion Release Control change. No GitHub token or artifact synchronization is needed.

Open a plan to see remote and local executions together with their origin. Select a reference and a local result to compare their measurements. The scenario links open the existing A → B comparison with both executions selected. Missing reports and metrics remain visible as unavailable; reading history creates no local plan. The comparison runs locally and sends no local results to Release Control.

Choose run locally on a remote reference to save its materialized test parameters as a local plan and run them against your current Harness. Repeating that action creates a new local plan using the current scenario contracts, while preserving earlier plans and results. The reference's scenarios, rounds, repetitions and retry settings come from the execution's materialization, not from the current profile with the same name. The current local scenario implementations and Harness are used deliberately: this is a personal experiment, not an exact-stack certification. No build/Git tracking or matching remote stack is required. Fault-injection groups still require the protected executor; they are not silently omitted. References without shard seeds for every scenario cannot be reproduced. Differences in local scenario definition or case identity are shown as advisory information.

Results stay in the local plan store. The RC execution remains a reference, never a locally recreated official execution. Native result validation remains strict; the remote data is read through the RC API rather than installed as a native report. Full remote evidence is available through the execution's GitHub link, subject to its retention; this flow does not download an evidence archive.

Compose lifecycle

Release Control names the exact project roots. This repository writes only the root configuration and passes those worker@version references to compose::add; iii resolves the Registry graph, writes the project topology, and reconciles its containers. Every execution starts an empty Engine and a dedicated Compose daemon, then runs compose::add, compose::up, compose::status, and compose::down. Each execution uses one isolated namespace for both Compose and the project functions it starts.

Compose supplies III_URL, III_NAMESPACE, III_WORKER_NAME, and III_CONFIG to the harness-e2e process. All four values are mandatory. The referenced configuration contains the execution-specific evidence directory and the separate control-plane database namespace. Start worker-compose.control.yaml before worker-compose.yaml: it provisions the single-connection harness_e2e SQLite pool at the configured control-plane path, with SQL history disabled. The Harness exits explicitly when that database or its schema is unavailable; the subject namespace never receives its database client or filesystem path.

Publication validates the locally built binary through a path:// Compose container before the package is uploaded. Published campaigns use only exact Registry package versions. Provider secrets are written to temporary permission-restricted env_file files and are never included in contract, Compose, evidence, or archive artifacts.

The worker exposes e2e::run, e2e::status, e2e::cancel, e2e::results-get, e2e::results-list, e2e::compare, e2e::scenarios-list, e2e::archive, e2e::archive-head, e2e::archive-restore, e2e::history-list, and e2e::retention-sweep. Fault supervisors use e2e::fault-plan and e2e::fault-evaluate so plan materialization and recovery classification stay on the same iii control plane. Subject policies deny e2e::*.

Durable artifacts are chunked through storage::*. Admissions, executions, runs, attempts and artifact references are written through the control-plane database::* worker. Execution records retain compact dashboard summaries and observations, so lists and history do not load native reports. Storage carries no version number and has no migration step: every table records the fingerprint of the statements that create it, and at start the worker recreates the tables whose fingerprint moved in one transaction, keeping the execution records, local plans and receipts it can still read and rebuilding run projections from the native bundles. Rows it cannot read, missing bundles and imported Release Control history in a recreated table are logged as warnings; the history comes back by importing it again, and nothing is reconstructed as a scored result. A report or plan written under another results contract is read with a warning, never refused.

Plan definitions and composed execution receipts are stored in saved_plans and saved_plan_executions through the database worker. A saved plan or receipt this binary cannot read is deleted on the next read; plans written by another binary are never migrated.

Release Control history imports use harness-e2e-history, wrapped as {json, sha256} with a sha256: digest of the exact UTF-8 JSON. Use Import history in the Console to import a file or explicitly fetch a plan from the RC bridge. Plans and executions retain source identities, revisions and every retained report; repeated imports do not create duplicates. Imported active work never enters local admission or recovery. History remains readable without RC. Evidence uses local gh credentials and Python 3 to verify the GitHub bundle manifest, execution/attempt identity and file checksums, independently of RC. Missing, expired, inaccessible and invalid evidence are separate states. Native bundles retain full reports, manifests and transcripts, loaded on demand for investigation. The runner has no S3, GCS, R2, SQL-driver, or Harness dependency.

Weekly Stress materializes deterministic fault plans and evaluates journals from a protected supervisor. Lane promotion is governed by config/policies/cutover.json.

Repository boundaries

  • src/ owns the runner, local wire adapters, scenarios, evaluation, longitudinal comparison, and the E2E control worker.
  • config/ owns reviewed comparison and cutover policies and fault profiles.
  • tests/ owns test-only fixtures, golden wire schemas, and the Node/Python validation suites.
  • schemas/ contains the public contracts for generated E2E artifacts.
  • dashboard/ contains the React, TypeScript, Vite, and Tailwind Console page embedded in the worker binary.
  • generated reports, transcripts, logs, and deliverables stay outside Git.

The crate may depend on the iii SDK and generic libraries. It must not declare a path or Git dependency on workers, Harness, or another product crate. Contract compatibility is established at runtime from engine::functions::list and engine::functions::info; the checked-in schemas are parity fixtures, not a linked product API.

The deterministic assessment boundary has one current payload shape, written only to results.json; scenario contracts are the only versioned domain. No scenario uses a second model: every score and every audit flag is deterministic.

Deterministic, pre-cleanup asset capture applies explicit safety limits and writes an unversioned sidecar containing the canonical deterministic validation portion, which is aggregated into results.json.

Observation

The runner waits for a session tree to finish by binding harness::turn-completed to an internal sink (e2e::on-turn-completed) before harness::send. That sink is not a control-plane verb: it is not registered with e2e::run / e2e::status / e2e::cancel, and it does not appear in e2e::scenarios-list. Subject policies already deny e2e::*.

A 15s watchdog samples harness::metrics and one root harness::status for stuck detection, heartbeat logs, and e2e::cancel. If the trigger type is missing from engine::triggers::list, the run is unsupported infrastructure — there is no silent fallback to polling harness::status or harness::metrics. After the tree completes, the runner still collects terminal status, metrics, transcripts, and deliverables.

Subject artifacts

Cross-repository executions accept a subject manifest matching schemas/subject-artifact.json. The archive and every declared file are verified before use. Mutable URLs, shortened Git revisions, unexpected archive paths, and digest mismatches are rejected.

Untrusted subject artifacts are never given provider, storage, or GitHub credentials in their environment. Provider workers and the trusted E2E worker are started separately. PR execution remains non-blocking shadow evidence until the source repository, revision, E2E ref, and credential boundary are approved.

Comparison

Every completed execution records the subject and E2E revisions, observed wire contracts, definition digest, materialized inputs, seed, policies, artifacts, and raw structural evidence. e2e::compare accepts two distinct completed execution ids (from_execution_id and to_execution_id) and writes a unique comparisons/<comparison-id>/e2e-delta.json plus e2e-summary.md. Numeric deltas remain disabled when the case set or canonical contract differs.

Deliverable, structural, technical, cost, latency, turns, and retry deltas remain independent. A case is repeatable after five local runs satisfy the deliverable, structural, and technical thresholds. Cost and wall-time are reported as observed metrics and compared only within a compatible baseline/candidate cohort.

Runtime-only package boundary

This repository executes exact-stack Test Plans and never publishes itself as a Registry worker. Release Control supplies a stack policy and an immutable executor SHA to exact-stack-e2e.yml; the contract this repository assembles from them pins every Registry version to an exact one, including historical candidates, because a campaign has to be able to say afterwards what it ran.

The root iii.worker.yaml remains the public manifest for local iii worker development and package compatibility. The root worker-compose.yaml remains a normal public Compose document. Release Control and post-prepare workflow phases deliberately read neither source contract.

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Longitudinal capability and complexity E2E system for Harness

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