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IRIS - Interface Recognition \u0026 Interaction Suite\n\n[![Follow on X](https://img.shields.io/twitter/follow/FrankBria18044?style=social)](https://x.com/FrankBria18044)\n\n\u003e 👁️ AI-powered UI understanding and testing toolkit\n\n**Phase 1: ✅ Complete** | **Phase 2: 🟡 75% Complete (CLI, Accessibility, AI Vision Foundation)**\n\nIRIS gives AI coding assistants \"eyes and hands\" to see and interact with user interfaces through natural language commands, visual regression testing, and accessibility validation.\n\n---\n\n## Current Status\n\n### ✅ Phase 1 - Complete (Production-Ready)\n\n**Core Features Available:**\n- ✅ Natural language UI commands with AI translation\n- ✅ Browser automation via Playwright\n- ✅ File watching with automatic re-execution\n- ✅ JSON-RPC protocol for AI coding assistant integration\n- ✅ SQLite persistence for test runs and results\n- ✅ Multi-provider AI support (OpenAI/Anthropic/Ollama)\n\n### ✅ Phase 2 - Visual Regression \u0026 Accessibility (COMPLETE)\n\n**Status:** Production-ready with 95.9% test pass rate and comprehensive feature coverage\n\n**Visual Testing Core:**\n- ✅ Visual capture engine with page stabilization and masking\n- ✅ SSIM and pixel-based diff engine with region analysis\n- ✅ Git-integrated baseline management (branch/commit/timestamp strategies)\n- ✅ Multi-device testing (desktop, tablet, mobile)\n- ✅ Complete TypeScript/Zod type system\n\n**AI Vision Integration:**\n- ✅ AI-powered semantic analysis (OpenAI GPT-4o, Claude 3.5 Sonnet, Ollama)\n- ✅ Multimodal AI client architecture (src/ai-client/ - reusable for future AI vision tasks)\n- ✅ Image preprocessing pipeline (resize, optimize, base64 encoding)\n- ✅ AI vision result caching (LRU memory + SQLite persistence)\n- ✅ Cost tracking with budget management and circuit breaker\n- ✅ Smart client with automatic fallback and cost optimization\n\n**CLI \u0026 Reporting:**\n- ✅ CLI commands: `iris visual-diff` and `iris a11y`\n- ✅ Multi-format reporting (HTML, JSON, JUnit, Markdown)\n- ✅ Visual reporter with diff viewer and interactive HTML reports\n\n**Accessibility Testing:**\n- ✅ WCAG 2.1 Level AA/AAA compliance validation with axe-core\n- ✅ Keyboard navigation testing (Tab order, focus traps, arrow keys)\n- ✅ Screen reader simulation (ARIA labels, landmarks, headings)\n\n**Examples \u0026 Documentation:**\n- ✅ 4 example projects (basic visual, multi-device, accessibility, CI/CD)\n- ✅ Comprehensive API documentation and user guides\n- ✅ CI/CD integration examples\n\n**Test Results:** 541/564 tests passing (95.9% pass rate)\n- 1 non-critical performance test timing failure (easily fixable)\n- 22 accessibility E2E tests skipped due to infrastructure mismatch\n\n**Coverage:** 75.49% overall (below 85% target)\n- Visual module: 88.3%\n- Accessibility module: 76.6%\n- Database: 95.74%\n- Branch coverage: 58.28% (primary improvement area)\n\n**Production Readiness:** ✅ Ready for use with noted optimization opportunities\n\n---\n\n## Quick Start\n\n### Installation\n\n```bash\ngit clone https://github.com/frankbria/iris.git\ncd iris\nnpm install\nnpm run build\nnpm link\n```\n\n### Verify Installation\n\n```bash\niris --version\n```\n\n### Try the Demo (Fastest Way)\n\n```bash\nbash \u003c(curl -s https://raw.githubusercontent.com/frankbria/iris/main/scripts/demo-setup.sh)\n```\n\nThis creates a sample project, runs visual and accessibility tests, and generates reports automatically.\n\n### Basic Usage\n\n**Natural Language Commands:**\n```bash\n# Execute browser actions with natural language\niris run \"click #submit-button\"\niris run \"fill #email with user@example.com\"\niris run \"navigate to https://example.com\"\n\n# AI-powered complex commands (requires API key)\nexport OPENAI_API_KEY=sk-your-key\niris run \"find the blue button next to the search box and click it\"\n```\n\n**Visual Regression Testing:**\n```bash\n# Compare current page against baseline\niris visual-diff \\\n  --pages \"http://localhost:8080/**/*.html\" \\\n  --baseline main \\\n  --devices desktop,tablet,mobile \\\n  --threshold 0.1 \\\n  --format html\n\n# Enable AI semantic analysis\niris visual-diff \\\n  --pages \"http://localhost:8080/\" \\\n  --semantic \\\n  --threshold 0.1\n```\n\n**Accessibility Testing:**\n```bash\n# Run WCAG 2.1 AA compliance tests\niris a11y \\\n  --pages \"http://localhost:8080/**/*.html\" \\\n  --tags wcag2a,wcag2aa \\\n  --include-keyboard \\\n  --format html\n\n# Test with screen reader simulation\niris a11y \\\n  --pages \"http://localhost:8080/\" \\\n  --include-screenreader \\\n  --fail-on critical,serious\n```\n\n**File Watching:**\n```bash\n# Watch files and auto-execute on changes\niris watch src/ --instruction \"reload page\"\niris watch \"**/*.ts\" --execute\n```\n\n**JSON-RPC Server:**\n```bash\n# Start WebSocket server for AI coding assistant integration\niris connect\niris connect 8080  # Custom port\n```\n\n---\n\n## Configuration\n\n### AI Provider Setup\n\n**OpenAI (Recommended for Visual Analysis):**\n```bash\nexport OPENAI_API_KEY=sk-your-key\n```\n\n**Anthropic Claude (Recommended for Semantic Analysis):**\n```bash\nexport ANTHROPIC_API_KEY=sk-ant-your-key\n```\n\n**Local Ollama (Privacy-Focused):**\n```bash\nexport OLLAMA_ENDPOINT=http://localhost:11434\nexport OLLAMA_MODEL=llava:latest\n```\n\n### Config File\n\nCreate `~/.iris/config.json`:\n```json\n{\n  \"ai\": {\n    \"provider\": \"openai\",\n    \"model\": \"gpt-4o-mini\"\n  },\n  \"visual\": {\n    \"threshold\": 0.1,\n    \"devices\": [\"desktop\"],\n    \"aiProvider\": \"openai\"\n  },\n  \"accessibility\": {\n    \"wcagLevel\": \"AA\",\n    \"includeKeyboard\": true\n  },\n  \"watch\": {\n    \"patterns\": [\"**/*.{ts,tsx,js,jsx}\"],\n    \"debounceMs\": 1000\n  }\n}\n```\n\n### Project-Level Config\n\nCreate `.irisrc` in your project root:\n```json\n{\n  \"visual\": {\n    \"threshold\": 0.1,\n    \"devices\": [\"desktop\", \"tablet\", \"mobile\"],\n    \"capture\": {\n      \"waitForFonts\": true,\n      \"disableAnimations\": true,\n      \"stabilizationDelay\": 500\n    }\n  },\n  \"accessibility\": {\n    \"wcagLevel\": \"AA\",\n    \"includeKeyboard\": true\n  }\n}\n```\n\n---\n\n## Visual Regression Testing\n\n### Features\n\n**Capture Engine:**\n- Screenshot capture with viewport/fullPage modes\n- Multi-device support (desktop 1920x1080, tablet 768x1024, mobile 375x667)\n- Page stabilization (fonts, animations, network idle)\n- Dynamic content masking\n- Element-specific capture\n\n**Diff Engine:**\n- Pixel-level comparison with pixelmatch\n- SSIM (Structural Similarity Index) analysis\n- Region-based difference detection\n- Change classification (layout/content/styling/animation)\n\n**AI Semantic Analysis:**\n- OpenAI GPT-4 Vision integration\n- Anthropic Claude 3.5 Sonnet support\n- Ollama local model support\n- Semantic change understanding (intentional vs regression)\n- Severity classification (breaking, moderate, minor)\n- Confidence scoring and explanations\n\n**Baseline Management:**\n- Git-integrated baseline storage\n- Branch-based baseline strategies\n- Commit-based snapshots\n- Timestamp-based baselines\n- Automatic cleanup of old baselines\n\n**Reporting:**\n- Interactive HTML reports with diff viewer\n- JSON structured data export\n- JUnit XML for CI/CD integration\n- Markdown summary reports\n\n### CLI Options\n\n```bash\niris visual-diff [options]\n\nOptions:\n  --pages \u003cpatterns\u003e       Page patterns (comma-separated, default: /)\n  --baseline \u003creference\u003e   Baseline branch/commit (default: main)\n  --semantic              Enable AI semantic analysis\n  --threshold \u003cvalue\u003e     Pixel threshold 0-1 (default: 0.1)\n  --devices \u003clist\u003e        Devices: desktop,tablet,mobile (default: desktop)\n  --format \u003ctype\u003e         Output: html|json|junit|markdown (default: html)\n  --output \u003cpath\u003e         Output file path\n  --fail-on \u003cseverity\u003e    Fail on: minor|moderate|breaking (default: breaking)\n  --update-baseline       Update baseline with current screenshots\n  --mask \u003cselectors\u003e      CSS selectors to mask (comma-separated)\n  --concurrency \u003cn\u003e       Max concurrent comparisons (default: 3)\n```\n\n---\n\n## Accessibility Testing\n\n### Features\n\n**WCAG Compliance:**\n- WCAG 2.0/2.1 Level A, AA, AAA validation\n- axe-core integration with 90+ rules\n- Configurable rule sets and tags\n- Impact-based severity classification\n\n**Keyboard Navigation:**\n- Tab order validation\n- Focus trap detection\n- Arrow key navigation testing\n- Escape key handling verification\n- Custom keyboard sequence testing\n\n**Screen Reader Support:**\n- ARIA label validation\n- Landmark navigation testing\n- Heading structure verification\n- Image alt text validation\n- Screen reader simulation\n\n**Reporting:**\n- Accessibility score (0-100 scale)\n- Violation breakdown by severity\n- Element-level issue reporting\n- Remediation suggestions\n\n### CLI Options\n\n```bash\niris a11y [options]\n\nOptions:\n  --pages \u003cpatterns\u003e        Page patterns (comma-separated, default: /)\n  --rules \u003crules\u003e           Specific axe rules (comma-separated)\n  --tags \u003ctags\u003e             Rule tags: wcag2a,wcag2aa,wcag21aa (default: wcag2a,wcag2aa)\n  --fail-on \u003cimpacts\u003e       Impact levels: critical,serious,moderate,minor (default: critical,serious)\n  --format \u003ctype\u003e           Output: html|json|junit (default: html)\n  --output \u003cpath\u003e           Output file path\n  --include-keyboard        Include keyboard navigation tests (default: true)\n  --include-screenreader    Include screen reader simulation\n```\n\n---\n\n## Examples\n\nPre-built examples are available in the `examples/` directory:\n\n### 1. Basic Visual Testing\n```bash\ncd examples/basic-visual-test\n./test-visual.sh\n```\n\nDemonstrates:\n- Simple page comparison\n- Baseline creation and updating\n- Threshold configuration\n- HTML report generation\n\n### 2. Multi-Device Testing\n```bash\ncd examples/multi-device-visual\n./test-responsive.sh\n```\n\nDemonstrates:\n- Desktop, tablet, mobile testing\n- Responsive design validation\n- Device-specific baselines\n- Parallel test execution\n\n### 3. Accessibility Audit\n```bash\ncd examples/accessibility-audit\n./test-a11y.sh\n```\n\nDemonstrates:\n- WCAG 2.1 AA compliance testing\n- Keyboard navigation validation\n- Screen reader simulation\n- Accessibility score reporting\n\n### 4. CI/CD Integration\n```bash\ncd examples/ci-cd-integration\n```\n\nIncludes configurations for:\n- GitHub Actions\n- GitLab CI\n- Jenkins\n- CircleCI\n\n---\n\n## Development\n\n### Run Tests\n\n```bash\nnpm test\n# Result: 541/564 passing (95.9% pass rate)\n# 1 failing (performance timing - non-critical)\n# 22 skipped (accessibility E2E - infrastructure mismatch)\n```\n\n### Build\n\n```bash\nnpm run build\n```\n\n### Coverage\n\n```bash\nnpm test -- --coverage\n# Overall: 75.49% (below 85% target)\n# Visual: 88.3% | A11y: 76.6% | Database: 95.74%\n# Branch coverage: 58.28% (primary improvement area)\n```\n\n### Run Benchmarks\n\n```bash\nnpm run bench\n```\n\nPerformance baselines:\n- Single page visual diff: 42.61ms (target \u003c100ms) ✅\n- 4K image processing: 205.30ms (target \u003c300ms) ✅\n- Memory delta: 1.57MB ✅\n\n---\n\n## Architecture\n\n### Phase 1 Core (9 modules, 25,667+ lines)\n\n**CLI Framework** (`src/cli.ts`)\n- Commander.js-based CLI with 5 commands\n- Browser execution integration\n- Configuration management\n\n**Browser Automation** (`src/browser.ts`, `src/executor.ts`)\n- Playwright wrapper with retry logic\n- Action execution with error handling\n- Session management\n\n**AI Translation** (`src/translator.ts`, `src/ai-client.ts`)\n- Pattern matching + AI fallback\n- Multi-provider support (OpenAI/Anthropic/Ollama)\n- Confidence scoring\n\n**Protocol \u0026 Storage** (`src/protocol.ts`, `src/db.ts`)\n- JSON-RPC 2.0 over WebSocket\n- SQLite persistence with migration system\n- Test result tracking with visual and a11y results\n\n### Phase 2 Visual \u0026 Accessibility (100% Complete)\n\n**Visual Module** (`src/visual/`)\n- `visual-runner.ts` - Test orchestration (15,365 bytes)\n- `capture.ts` - Screenshot capture with stabilization\n- `diff.ts` - Pixel and SSIM comparison\n- `baseline.ts` - Git-integrated baseline management\n- `ai-classifier.ts` - AI semantic analysis (6,843 bytes)\n- `reporter.ts` - Multi-format reporting (979 lines)\n- `storage.ts` - Artifact storage\n\n**Accessibility Module** (`src/a11y/`)\n- `a11y-runner.ts` - Test orchestration (12,799 bytes)\n- `axe-integration.ts` - WCAG compliance (6,279 bytes)\n- `keyboard-tester.ts` - Keyboard navigation (12,271 bytes)\n\n**Database** (`src/db.ts`)\n- Extended schema with visual_test_results and a11y_test_results tables\n- Migration system for schema versioning\n- Aggregate statistics and query functions\n\n---\n\n## Documentation\n\n### Getting Started\n- **[docs/GETTING_STARTED_GUIDE.md](docs/GETTING_STARTED_GUIDE.md)** - Complete setup guide (5-minute quick start, 20-minute full setup)\n- **[docs/QUICKSTART.md](docs/QUICKSTART.md)** - 5-minute introduction\n\n### API Reference\n- **[docs/api/visual-testing.md](docs/api/visual-testing.md)** - Visual regression API (1,116 lines)\n- **[docs/api/accessibility-testing.md](docs/api/accessibility-testing.md)** - Accessibility API (1,050 lines)\n\n### Guides\n- **[docs/guides/ci-cd-integration.md](docs/guides/ci-cd-integration.md)** - CI/CD integration (645 lines)\n- **[docs/PERFORMANCE.md](docs/PERFORMANCE.md)** - Performance benchmarks and optimization\n- **[docs/OPTIMIZATION_RECOMMENDATIONS.md](docs/OPTIMIZATION_RECOMMENDATIONS.md)** - Optimization strategies\n\n### Development\n- **[docs/DEVELOPMENT_INSTRUCTIONS.md](docs/DEVELOPMENT_INSTRUCTIONS.md)** - Development guide\n- **[docs/phase2_technical_architecture.md](docs/phase2_technical_architecture.md)** - Phase 2 architecture (2,556 lines)\n- **[docs/PROJECT_INDEX.md](docs/PROJECT_INDEX.md)** - Project navigation\n\n### Contributing\n- **[plan/READY_FOR_COMMIT.md](plan/READY_FOR_COMMIT.md)** - Git workflow guide\n- **[docs/GIT_COMMIT_GUIDE.md](docs/GIT_COMMIT_GUIDE.md)** - Commit instructions\n- **[plan/phase2_completion_report.md](plan/phase2_completion_report.md)** - Phase 2 completion report\n\n### AI Agents\n- **[AGENT_INSTRUCTIONS.md](AGENT_INSTRUCTIONS.md)** - Development guidance\n- **[CLAUDE.md](CLAUDE.md)** - Claude Code instructions\n- **[docs/beads-migration-guide.md](docs/beads-migration-guide.md)** - Beads issue tracker guide\n\n### Issue Tracking with Beads\n\nIRIS uses **Beads** (`bd`) - a dependency-aware issue tracker designed for AI-supervised workflows. Issues are tracked with explicit dependency chains, making it easy for AI agents to find ready work and avoid duplicating effort.\n\n**Quick Start:**\n```bash\n# Show unblocked issues ready to work on\nbd ready\n\n# View issue details\nbd show iris-7\n\n# Claim work\nbd update iris-7 --status in_progress --assignee your-name\n\n# Close when complete\nbd close iris-7 --reason \"commit abc123\"\n```\n\n**Current Status:**\n- **19 issues** tracking Phase 2 Sub-Phases B-E (weeks 5-18)\n- **10 issues** ready with no blockers\n- **Critical path**: iris-6 → iris-7 (P0 validation) → iris-8 → ... → iris-16\n\n**Key Features:**\n- Dependency tracking (`blocks`, `parent-child`, `discovered-from`)\n- Auto-sync with git (JSONL export/import)\n- Priority-based work queues (P0-P3)\n- JSON output for programmatic access\n\nSee **[docs/beads-migration-guide.md](docs/beads-migration-guide.md)** for complete workflow documentation.\n\n---\n\n## Roadmap\n\n### Phase 1 ✅ (Complete - September 2024)\n- CLI framework with natural language commands\n- Browser automation with Playwright\n- File watching and auto-execution\n- AI translation with multi-provider support\n- JSON-RPC protocol server\n- SQLite persistence\n\n### Phase 2 ✅ (COMPLETE - October 2025)\n- ✅ Visual regression testing with pixel and SSIM comparison\n- ✅ AI semantic analysis (OpenAI, Claude, Ollama)\n- ✅ AI vision foundation with cost control and caching\n- ✅ Multi-device testing (desktop, tablet, mobile)\n- ✅ Accessibility validation (WCAG 2.1 AA/AAA)\n- ✅ Keyboard navigation and screen reader testing\n- ✅ Git-integrated baseline management\n- ✅ Multi-format reporting (HTML, JSON, JUnit, Markdown)\n- ✅ CLI integration (`iris visual-diff`, `iris a11y`)\n- ✅ E2E integration tests\n- ✅ Performance benchmarks\n- ✅ Comprehensive documentation and examples\n- ✅ CI/CD ready\n- ✅ Test suite stabilized (95.9% pass rate)\n- ⚠️ Coverage at 75.49% (below 85% target - branch coverage improvement needed)\n\n### Phase 3 📋 (Planned - Q1 2026)\n- Performance monitoring and Core Web Vitals\n- Advanced AI-powered visual analysis\n- Autonomous UI exploration\n- Design system compliance checking\n- Visual regression history and trends\n- Team collaboration features\n\n---\n\n## Testing\n\n**Test Coverage:**\n- Total: 564 tests (541 passing, 95.9% pass rate)\n- Failing: 1 (non-critical performance timing test)\n- Skipped: 22 (accessibility E2E infrastructure mismatch)\n- Overall coverage: 75.49% (target: 85%)\n  - Visual module: 88.3%\n  - Accessibility module: 76.6%\n  - Database: 95.74%\n  - Branch coverage: 58.28% (primary improvement opportunity)\n\n**Test Suites:**\n- Unit tests for all core modules (541 passing)\n- Integration tests for CLI commands\n- E2E tests: Visual (93.3% passing), Accessibility (0% - skipped)\n- Browser automation tests with real Playwright\n- Performance benchmarks\n\n---\n\n## Dependencies\n\n**Core:**\n- Node.js \u003e=18.0.0\n- TypeScript 5.1.6\n- Playwright 1.35.0\n- Commander 11.0.0\n\n**Visual Testing:**\n- sharp (image processing)\n- pixelmatch (pixel diff)\n- image-ssim (structural similarity)\n- simple-git (baseline management)\n- openai (GPT-4 Vision)\n- @anthropic-ai/sdk (Claude)\n\n**Accessibility:**\n- @axe-core/playwright\n- pa11y\n\n**Utilities:**\n- zod (runtime validation)\n- better-sqlite3 (database)\n- ws (WebSocket)\n\n---\n\n## Performance\n\n**Benchmarks (October 2025):**\n- Single page visual diff: **42.61ms** (target \u003c100ms) ✅ 57% better\n- 4K image processing: **205.30ms** (target \u003c300ms) ✅ 32% better\n- Memory usage: **1.57MB delta** ✅ Excellent\n- Parallel efficiency: 1.6x (roadmap for 3-5x improvement)\n\nSee [docs/PERFORMANCE.md](docs/PERFORMANCE.md) for detailed benchmarks.\n\n---\n\n## CI/CD Integration\n\nIRIS is CI/CD ready with:\n- Exit code propagation for pass/fail\n- JUnit XML report generation\n- JSON structured output\n- Parallel test execution\n- Configurable failure thresholds\n\n**Example GitHub Actions:**\n```yaml\n- name: Visual Regression Testing\n  run: |\n    iris visual-diff \\\n      --pages \"http://localhost:8080/**/*.html\" \\\n      --baseline main \\\n      --format junit \\\n      --output test-results/visual.xml\n\n- name: Accessibility Testing\n  run: |\n    iris a11y \\\n      --pages \"http://localhost:8080/**/*.html\" \\\n      --format junit \\\n      --output test-results/a11y.xml\n```\n\nSee [docs/guides/ci-cd-integration.md](docs/guides/ci-cd-integration.md) for complete examples.\n\n---\n\n## Contributing\n\nPhase 2 is complete. The project is ready for Phase 3 development or community contributions.\n\n**Areas for Contribution:**\n- Additional AI provider integrations\n- Enhanced report visualizations\n- Performance optimizations\n- Additional accessibility rules\n- Documentation improvements\n- Example projects\n\nSee [DEVELOPMENT_INSTRUCTIONS.md](docs/DEVELOPMENT_INSTRUCTIONS.md) for contribution guidelines.\n\n---\n\n## License\n\nMIT\n\n---\n\n## Links\n\n- **GitHub:** [github.com/frankbria/iris](https://github.com/frankbria/iris)\n- **Issues:** [github.com/frankbria/iris/issues](https://github.com/frankbria/iris/issues)\n- **Twitter:** [@FrankBria18044](https://twitter.com/FrankBria18044)\n\nBuilding in public. Star the repo to follow along! ⭐\n\n---\n\n## Quick Reference\n\n**Installation:**\n```bash\nnpm install -g @frankbria/iris  # Coming soon to npm\n# Or install from source:\ngit clone https://github.com/frankbria/iris.git \u0026\u0026 cd iris \u0026\u0026 npm install \u0026\u0026 npm run build \u0026\u0026 npm link\n```\n\n**Visual Testing:**\n```bash\niris visual-diff --pages \"http://localhost:8080/\" --semantic\n```\n\n**Accessibility Testing:**\n```bash\niris a11y --pages \"http://localhost:8080/\" --include-keyboard\n```\n\n**Get Help:**\n```bash\niris --help\niris visual-diff --help\niris a11y --help\n```\n\n**Documentation:**\n- Quick Start: [docs/GETTING_STARTED_GUIDE.md](docs/GETTING_STARTED_GUIDE.md)\n- API Reference: [docs/api/](docs/api/)\n- Examples: [examples/](examples/)\n\n**Status:**\n- Phase 1: ✅ Complete\n- Phase 2: ✅ Complete (production-ready)\n- Tests: 541/564 passing (95.9%)\n- Coverage: 75.49% (below 85% target)\n- Production Ready: ✅ Yes (with noted optimization opportunities)\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffrankbria%2Firis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffrankbria%2Firis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffrankbria%2Firis/lists"}