agent_device 0.0.4

Agent-enabled CLI and library for mobile UI automation, network inspection, and performance diagnostics across iOS and Android. Dart port of the TypeScript agent-device project.

agent_device

Agent-driven CLI and Dart library for mobile UI automation, accessibility snapshots, network/log/perf observability, video recording, and .ad replay scripts on iOS and Android.

Install

# CLI (global activation)
dart pub global activate agent_device

# Library (add to pubspec.yaml)
dart pub add agent_device

The CLI installs two executables: agent-device and ad (short alias).

How it works

agent_device talks to real iOS simulators/devices and Android emulators/devices through their native toolchains:

• iOS: an XCUITest runner (Swift) launched via xcodebuild test-without-building. Auto-built from bundled source on first use.
• Android: adb for interactions + a bundled snapshot helper APK (13 KB Java instrumentation) that provides multi-window accessibility snapshots. Auto-installed on first use.

No emulator images, test frameworks, or additional SDKs are required beyond Xcode (iOS) and Android SDK (Android).

CLI quickstart

# List all connected/booted devices
ad devices

# Capture the accessibility tree
ad snapshot --platform ios --serial <UDID>

# Interact
ad open com.example.myapp --platform android
ad tap 200 400
ad type "hello world"
ad click 'text="Submit"'
ad swipe 200 600 200 200

# Assertions
ad is visible 'text="Welcome"'
ad is hidden 'id=loadingSpinner'
ad wait visible 'text="Done"' --timeout 10000

# Replay an .ad script
ad replay flow.ad --platform ios

# Record video with chapter markers per step
ad replay flow.ad --record recording.mp4

Every command supports --json for machine-readable output and --verbose for diagnostic logging.

Library usage

import 'package:agent_device/agent_device.dart';

void main() async {
  // Open a session on a connected device
  final device = await AgentDevice.open(
    backend: const IosBackend(),
    selector: const DeviceSelector(serial: 'BOOTED-UDID'),
  );

  // Launch an app and capture the UI tree
  await device.openApp('com.example.myapp');
  final snap = await device.snapshot();
  for (final node in (snap.nodes ?? []).whereType<SnapshotNode>()) {
    print('@${node.ref} [${node.type}] ${node.label ?? ""}');
  }

  // Interact via selectors
  await device.tapTarget(
    InteractionTarget.selector('text="Sign In"'),
  );
  await device.typeText('[e-mail]');

  // Assert visibility with viewport-aware checks
  final result = await device.isPredicate(
    'visible',
    InteractionTarget.selector('id=welcomeBanner'),
  );
  print('visible: ${result.pass}');

  // Record video with chapters (for test suites)
  final recorder = TestRecorder(device, '/tmp/test.mp4');
  await recorder.start();
  recorder.chapter('login flow');
  // ... test steps ...
  await recorder.stop(); // injects MP4 chapters via ffmpeg

  await device.close();
}

Key classes

Class	Purpose
AgentDevice	Main facade — open sessions, capture snapshots, interact, assert
IosBackend / AndroidBackend	Platform implementations
DeviceSelector	Filter devices by serial, name, or platform
InteractionTarget	Target a node by @ref, selector expression, or x/y coordinates
TestRecorder	Record video with chapter markers in Dart test files
BackendSnapshotResult	Snapshot result with typed node tree

Selector DSL

Target nodes using a concise selector language:

// By accessibility identifier
InteractionTarget.selector('id=loginButton')

// By label text (quote spaces)
InteractionTarget.selector('text="Sign In"')

// Compound selectors
InteractionTarget.selector('role=button text="Submit"')

// Fallback chains (try first, then second)
InteractionTarget.selector('id=submit || text="Submit"')

// By @ref from a previous snapshot
InteractionTarget.ref('@e5')

.ad replay scripts

Text-based scripts for repeatable UI flows:

context platform=ios
open com.example.myapp
snapshot -i
click 'text="Get Started"'
wait visible 'id=onboardingComplete' 10000
type "Jane Doe"
screenshot ./screenshots/onboarding.png

Run with ad replay flow.ad or ad test flows/ (runs all .ad files in a directory).

Native assets

The package bundles two native helpers that are managed automatically:

Android snapshot helper (13 KB APK) — provides multi-window accessibility snapshots via adb shell am instrument. Captures system UI (status bar, keyboard) alongside the app, unlike stock uiautomator dump. Auto-installed on the device on first snapshot.

iOS XCUITest runner (~200 KB source) — Swift project built via xcodebuild build-for-testing on first use. Provides snapshot, tap, swipe, type, record, and other interactions through an HTTP bridge to the simulator/device. Build output is cached in ios-runner/build/.

Both are resolved automatically — no manual build steps required.

Environment variables

Variable	Purpose
AGENT_DEVICE_STATE_DIR	Override state directory (default: ~/.agent-device/)
AGENT_DEVICE_VERBOSE	Set to 1 for diagnostic logging
AGENT_DEVICE_ANDROID_SNAPSHOT_DEBUG	Set to 1 for Android snapshot diagnostics
AGENT_DEVICE_IOS_RUNNER_DEBUG	Set to 1 for iOS runner HTTP diagnostics
AGENT_DEVICE_IOS_RUNNER_BUILD_DIR	Override iOS runner build products path
AD_RECORD_TESTS	Set to a directory path to enable video recording in tests

License

MIT