endorphin-ai

v1.1.1

Published

18 days ago

E2E Testing Reinvented with AI - A powerful TypeScript browser automation framework using AI-powered testing with LangChain, OpenAI GPT-4o, and Playwright

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andrewnovykov

ai testing e2e automation browser playwright langchain openai gpt-4 test-framework typescript type-safe endorphin-ai endorphin

💜 ENDORPHIN

E2E Testing Reinvented with AI

Write tests in plain English. Let AI generate, validate, and fix them automatically.

🌐 https://endorphinai.dev

A powerful, modular browser automation framework using AI-powered testing with LangChain, multi-provider AI (OpenAI GPT-4o, Google Gemini), and Playwright. Provides intelligent browser automation with automatic element detection, AI-powered visual validation, and comprehensive test management.

🎬 Watch Demo

🌐 Read in Your Language

🚀 Quick Start

📦 Installation & Setup

Get started in under 30 seconds:

# ⚡ Quick setup (recommended)
npx create-endorphin-ai@latest my-ai-tests
cd my-ai-tests

Or manual setup:

# 1. Create your project
mkdir my-ai-tests && cd my-ai-tests

# 2. Install Endorphin AI
npm install endorphin-ai@latest --save-dev

# 3. Initialize with everything you need
npx endorphin-ai init

What you get:

✅ Sample test ready to run
✅ Configuration files
✅ Project structure
✅ Environment setup

🔑 Add Your AI Provider API Key

# OpenAI (default)
echo "OPENAI_API_KEY=your-openai-api-key-here" > .env

# Or Google Gemini
echo "GOOGLE_API_KEY=your-gemini-api-key-here" > .env

Get your API key from OpenAI Platform or Google AI Studio

▶️ Run Your First Test

# Run the sample health check test
npx endorphin-ai run test HEALTH-001

# Generate a beautiful HTML report
npx endorphin-ai generate report && npx endorphin-ai open report

🎉 That's it! You now have:

A working AI-powered test
Interactive HTML reports with screenshots
Complete project structure for scaling

🎬 Demo Video

https://github.com/user-attachments/assets/166b27d5-5da8-4aab-baaa-6924435f07a9

📋 System Requirements

Node.js Compatibility:

✅ Node.js 16.0.0+ (Minimum supported)
✅ Node.js 18.x (LTS - Recommended)
✅ Node.js 20.x (Current LTS)
✅ Node.js 22.x (Latest stable)
✅ Node.js 22.18.0 (Explicitly tested on CI)

Platforms:

✅ Windows 10/11
✅ macOS 10.15+
✅ Linux (Ubuntu 18.04+)

Test Node.js 22.18.0 compatibility:

# Local testing script
./scripts/test-node-22.18.0.sh

# Or manual test
npm run test:node-22

📖 Full Node.js Compatibility Guide

🔧 Troubleshooting Installation

If npx endorphin-ai doesn't work, try these guaranteed solutions:

# Option 1: Use npm scripts (always works)
npm run endorphin:init                # Initialize project
npm run endorphin:version             # Check version
npm run endorphin:help                # Get help

# Option 2: Clear npx cache and retry
npx --clear-cache
npx endorphin-ai init

# Option 3: Use direct path
./node_modules/.bin/endorphin-ai init

# Option 4: Global installation
npm install -g endorphin-ai
endorphin-ai init

Why this happens: This is a known npm/npx issue with local binary resolution, not a problem with Endorphin AI. The npm scripts above always work regardless of npx behavior.

Alternative npm scripts in package.json:

{
  "scripts": {
    "endorphin:init": "./node_modules/.bin/endorphin init",
    "endorphin:version": "./node_modules/.bin/endorphin --version",
    "endorphin:help": "./node_modules/.bin/endorphin --help"
  }
}

Manual Setup (Alternative)

If you prefer manual setup:

Create your project directory:

mkdir my-test-project && cd my-test-project

Initialize with ES modules:
```
npm init -y
npm pkg set type="module"
```
Install Endorphin AI:
```
npm install endorphin-ai
```

Set up your .env file with your AI provider API key:

OPENAI_API_KEY=your_api_key_here
# Or for Google Gemini:
# GOOGLE_API_KEY=your_gemini_api_key_here

Create tests directory:
```
mkdir tests
```

Create your first test file tests/login-test.ts:

import type { TestCase } from 'endorphin-ai';

export const QE001: TestCase = {
  id: 'QE-001',
  name: 'Basic Login Test',
  description: 'Test the login functionality with valid credentials',
  priority: 'High',
  tags: ['authentication', 'login', 'smoke'],
  site: 'https://qafromla.herokuapp.com/',
  data: async () => {
    return {
      originalEmail: '[email protected]',
      originalPassword: 'lalalend',
    };
  },
  task: `Navigate to https://qafromla.herokuapp.com/. 
  Click on "Log In" button. Wait 2 seconds for page load. 
  Fill email field with "[email protected]". 
  Fill password field with "lalalend". 
  Click "Sign In" button. Wait 3 seconds for page load. 
  Verify login was successful by checking page content.`,
};

Add scripts to your package.json:

{
  "scripts": {
    "test": "endorphin-ai run test all",
    "test:smoke": "endorphin-ai run test --tag smoke",
    "test:auth": "endorphin-ai run test --tag authentication",
    "test:single": "endorphin-ai run test",
    "test:record": "endorphin-ai run test-recorder",
    "endorphin:init": "./node_modules/.bin/endorphin-ai init",
    "endorphin:version": "./node_modules/.bin/endorphin --version"
  }
}

🎯 Core Features

🤖 AI-Powered Testing

Write tests in plain English - No complex selectors needed
Intelligent element detection - AI finds buttons, forms, and content automatically
Auto-inject page context - Accessibility tree auto-injected before every AI decision for full page awareness
Self-healing tests - Adapts to UI changes without breaking
Smart error recovery - 3-tier retry strategy for reliable form input
Multi-provider AI - OpenAI GPT-4o and Google Gemini support with auto-detection

👁️ Vision Verification

AI-powered screenshot verification - Verify elements visually, not just in the DOM
Auto-highlight bounding box - Red border drawn on verified elements before capture
Dual verification modes - supplement (vision augments DOM) or primary (vision overrides DOM)
Validation Agent vision - Screenshot confirmation of test results with confidence scoring

📊 Beautiful Reports

Interactive HTML reports with screenshots and step-by-step execution
Cost & token tracking - Monitor AI usage and optimize expenses (including vision API calls)
AI decision history - See exactly how AI analyzes and executes tests
Real-time filtering and search to quickly find issues
Visual debugging with click-to-zoom screenshots
Export capabilities for sharing with your team

🎬 Report Demo

https://github.com/user-attachments/assets/83a900c6-9279-496d-bc12-f16fb98cf6dc

🛠️ Developer Experience

Zero configuration - Works out of the box
TypeScript support with full type definitions
Smart test structure - Dynamic setup, data generation, and task functions
26 built-in browser tools - Navigate, click, fill, verify, hover, drag, scroll, file upload, tabs, network inspection, and more
Sequential tool execution - Reliable sequential execution preventing race conditions
VS Code debugging - Professional debugging with debug object access
Multiple browsers - Chrome, Firefox, Safari support

🤖 Claude Code Integration

AI-assisted test creation - /write-test slash command for autonomous test writing
AI-assisted test repair - /fix-test reads failures and rewrites broken steps
Recorder CLI - Programmatic recorder create, add-step, generate commands
Autonomous mode - Claude reads the page accessibility tree and auto-generates test steps
One-command setup - npx endorphin-ai init-claude-skill scaffolds everything

🎮 Interactive Tools

Test Recorder - Create tests by clicking through your app or via CLI
Live debugging - See exactly what the AI is doing
Custom test creation with guided prompts
Session replay to understand test failures

🔄 Staying Updated

Current Version: v1.1.0

# Check your current version
npx endorphin-ai --version

# Update to the latest version
npm update endorphin-ai

# Get help and see new features
npx endorphin-ai --help

What's New in v1.1.0

Intelligence

✅ Auto-inject page context - Accessibility tree auto-injected before every AI decision with [CHANGED]/[NEW] markers
✅ Sequential tool execution - Reliable sequential execution preventing race conditions
✅ Fill tool reliability - 3-tier retry strategy (focus+fill, pressSequentially, JS native value setter)
✅ Gemini crash recovery - Graceful handling of empty candidates from Gemini API
✅ 26 built-in tools - Expanded from 14 to 26 browser automation tools

Vision

✅ Vision verification - AI-powered screenshot verification for all verify tools
✅ Auto-highlight bounding box - Red border on verified elements before screenshot capture
✅ Validation Agent vision - Test result validation with screenshot confirmation

Claude Code Integration

✅ Recorder CLI - Programmatic test recording via recorder create, add-step, generate commands
✅ Claude Code skills - /write-test, /fix-test, /record-test slash commands
✅ Autonomous mode - Claude reads the page and auto-generates test steps

Bug Fixes

✅ Bounding box screenshots render correctly with viewport-only capture
✅ Vision API calls appear in cost report with correct model name
✅ Navigation tools capture screenshots on error

🚀 Project Initialization

New Projects (Recommended)

# Quick setup for new projects
mkdir my-test-project && cd my-test-project
npx endorphin-ai init

The init command creates:

✅ tests/ directory with sample TypeScript test
✅ test-results/ for test outputs
✅ test-recorder/ for recorded tests
✅ .env file with API key placeholder
✅ endorphin.config.ts with optimized TypeScript settings
✅ tsconfig.json for TypeScript compilation
✅ .gitignore with Endorphin-specific patterns
✅ README-ENDORPHIN.md quick start guide

Existing Projects

For existing Endorphin projects, the init command is optional and safe:

✅ Never overwrites existing configuration files
✅ Only creates missing directories
✅ Adds helpful template files if needed

# Safe to run in existing projects
npx endorphin-ai init

Usage Commands

ℹ️ Version & Help

# Check current version
npx endorphin-ai --version

# Get help and see all commands
npx endorphin-ai --help

# Update to latest version
npm update endorphin-ai

🎯 Initialize New Project

# Create a new Endorphin AI project with all necessary files
npx endorphin-ai init

# What gets created:
# ├── tests/sample-test.ts     # Ready-to-run TypeScript test
# ├── .env                     # API key configuration
# ├── endorphin.config.ts      # Framework settings (TypeScript)
# ├── tsconfig.json            # TypeScript configuration
# ├── .gitignore              # Endorphin-specific ignores
# └── README-ENDORPHIN.md     # Quick start guide

🧪 Run Specific Test

# Using npm scripts (recommended)
npm run test:single QE-001

# Using npx
npx endorphin-ai run test QE-001

# Global installation
endorphin run test QE-001

🏷️ Run Tests by Category

# Using npm scripts
npm run test:smoke
npm run test:auth

# Using npx/global
npx endorphin-ai run test --tag authentication
npx endorphin-ai run test --priority High

🎯 Run All Tests

# Using npm scripts
npm test

# Using npx/global
npx endorphin-ai run test all

🎬 Test Recorder Mode

# Using npm scripts
npm run test:record

# Using npx/global
npx endorphin-ai run test-recorder

🤖 Claude Code Integration

# Initialize Claude Code skills (one-time setup)
npx endorphin-ai init-claude-skill

# Then use slash commands in Claude Code:
# /write-test   - AI writes a test from scratch
# /fix-test     - AI diagnoses and fixes a failing test
# /record-test  - AI records a test interactively

🎮 Recorder CLI (Programmatic)

# Create a recording session
npx endorphin-ai recorder create --id TEST-001 --name "Login Test" --url https://example.com

# Add steps to the session
npx endorphin-ai recorder add-step --session <id> --step "Click the Login button"
npx endorphin-ai recorder add-step --session <id> --step "Fill email with [email protected]"

# Generate a test file from the recording
npx endorphin-ai recorder generate --session <id> --output-dir tests/

# List all sessions / check status
npx endorphin-ai recorder list
npx endorphin-ai recorder status --session <id>

📊 HTML Reports & Analytics

Endorphin AI generates beautiful, interactive HTML reports that provide comprehensive insights into your test execution results.

🚀 Quick Report Generation

# Generate a full interactive HTML report
npx endorphin-ai generate report

# Generate a lightweight summary report
npx endorphin-ai generate report --summary

# Open the latest report in your browser
npx endorphin-ai open report

# Open a specific report file
npx endorphin-ai open report report-2025-06-22.html

✨ Report Features

📈 Interactive Dashboard

Real-time Statistics: Success rates, test counts, execution trends
Visual Progress Bars: Easy-to-understand success rate indicators
Summary Cards: Quick overview of test health

🔍 Advanced Search & Filtering

Real-time Search: Find tests by name or ID instantly
Status Filtering: Filter by passed/failed tests with one click
Smart Results: Shows "5 of 25 tests matching 'login' with status 'failed'"
Keyboard Shortcuts: Ctrl+F to search, Ctrl+3 for failed tests only

🎯 Detailed Test Analysis

Step-by-Step Timeline: See exactly what happened during test execution
Screenshot Galleries: Visual debugging with click-to-zoom screenshots
Interactive Modals: Deep dive into test execution details
Tool Call Tracking: See which browser actions were performed

⌨️ Productivity Features

Export to JSON: Data-driven analysis and custom reporting
Print Support: Documentation-ready printed reports
Responsive Design: Works on desktop, tablet, and mobile
Performance Optimized: Fast loading even with large test suites

📖 Complete Guide

For detailed usage instructions, advanced features, and best practices, see the HTML Reporter User Guide.

🏗️ Framework Architecture

Endorphin AI is built with a modular, extensible architecture designed for reliability and maintainability.

Key Components

Core Framework: Test execution engine with dependency injection and session management
AI Agent: LangGraph StateGraph with multi-provider support (OpenAI, Gemini) and auto-injected page context
Browser Tools: 26 intelligent automation tools powered by AI
Vision System: AI-powered screenshot verification with bounding box highlights
Configuration System: Flexible, hierarchical configuration (CLI > config file > env vars > defaults)
Test Discovery: Automatic test file detection and loading
Reporters: Interactive HTML, console, and performance reporters with cost tracking

⚙️ Configuration

Default Configuration

Endorphin AI works out of the box with sensible defaults, but you can customize it by creating an endorphin.config.ts file in your project root:

// endorphin.config.ts
import type { FrameworkConfig } from 'endorphin-ai';

const config: FrameworkConfig = {
  // AI model (auto-detects provider from name)
  model: 'gpt-4o',           // or 'gemini-1.5-pro'

  // Global test settings
  defaultTimeout: 30000,
  headless: false,
  viewport: { width: 1280, height: 720 },

  // Default test data
  testData: {
    baseUrl: 'https://staging.example.com',
    adminEmail: '[email protected]',
  },

  // Result settings
  screenshots: true,
  recordVideo: false,
};

export default config;

CLI Options

You can override configuration with CLI flags:

# Using npm scripts with -- to pass flags
npm test -- --browser firefox
npm run test:single QE-001 -- --no-headless

# Using npx/global
npx endorphin-ai run test all --browser firefox
npx endorphin-ai run test QE-001 --no-headless
npx endorphin-ai run test all --viewport 1920x1080
npx endorphin-ai run test all
npx endorphin-ai run test all --model gpt-4o-mini
npx endorphin-ai run test all --env staging

📝 Test Categories

You can organize your tests using tags and priorities:

Common Tags

authentication - Login, logout, registration tests
smoke - Critical path tests that must pass
navigation - Menu, links, page routing tests
forms - Form filling and validation tests
checkout - E-commerce purchase flow tests
search - Search functionality tests
responsive - Mobile/tablet/desktop tests

Priority Levels

High - Critical functionality, run on every build
Medium - Important features, run daily
Low - Nice-to-have features, run weekly

Example Test Organization

// tests/auth-tests.ts
import type { TestCase } from 'endorphin-ai';

export const LOGIN_TEST: TestCase = {
  id: 'AUTH-001',
  name: 'User Login Test',
  description: 'Test user authentication flow',
  tags: ['authentication', 'smoke'],
  priority: 'High',
  site: 'https://example.com',
  task: 'Navigate to login page and authenticate user...',
};

export const LOGOUT_TEST: TestCase = {
  id: 'AUTH-002',
  name: 'User Logout Test',
  description: 'Test user logout functionality',
  tags: ['authentication'],
  priority: 'Medium',
  site: 'https://example.com',
  task: 'Log out the authenticated user...',
};

🔧 Smart Test Structure

Endorphin AI supports a powerful test structure with async functions for dynamic test preparation.

🚀 Test Format

import type { TestCase } from 'endorphin-ai';

export const SMART_TEST: TestCase = {
  id: 'LOGIN-001',
  name: 'User Login Test',
  description: 'Test login with generated credentials',
  priority: 'High',
  tags: ['auth', 'smoke'],

  // Generate test data dynamically
  data: async () => {
    const timestamp = Date.now();
    return {
      email: `testuser${timestamp}@example.com`,
      password: 'SecurePassword123!',
      firstName: 'Test',
      lastName: 'User',
    };
  },

  // Set up test environment
  setup: async () => {
    return {
      baseUrl: process.env.TEST_URL || 'https://example.com',
      startTime: new Date().toISOString(),
    };
  },

  // Main test instructions using generated data
  task: async (data, setupData) => {
    return `
      Navigate to ${setupData.baseUrl}/login
      Fill email with "${data.email}"
      Fill password with "${data.password}"
      Click Submit button
      Verify welcome message contains "${data.firstName}"
    `;
  },
};

✨ Key Benefits

Dynamic Data Generation - Create unique test data for each run
Environment Setup - Prepare test environment before execution
Type Safety - Full TypeScript support for all functions
Backward Compatibility - Old test format still works perfectly

📁 Project Structure

Your project should look like this:

my-test-project/
├── .env                    # OpenAI API key
├── tests/                  # Your test files (TypeScript)
│   ├── login-test.ts      # Authentication tests
│   ├── checkout-test.ts   # E-commerce tests
│   └── navigation-test.ts # UI/Navigation tests
├── endorphin.config.ts    # Optional configuration (TypeScript)
├── tsconfig.json          # TypeScript configuration
└── package.json           # Project config

📝 Test File Format

Each test file should export test objects with TypeScript types:

import type { TestCase } from 'endorphin-ai';

export const QE001: TestCase = {
  id: 'QE-001', // Unique test identifier
  name: 'Basic Login Test', // Human readable name
  description: 'Test login functionality with valid credentials',
  priority: 'High', // High, Medium, Low
  tags: ['authentication', 'login', 'smoke'], // Categories
  site: 'https://example.com/', // Target website
  data: async () => {
    return {
      email: '[email protected]',
      password: 'password123',
    };
  },
  task: `Your test instructions in plain English...`,
};

// Multiple tests per file with full type safety
export const QE002: TestCase = {
  id: 'QE-002',
  name: 'Registration Test',
  description: 'Test user registration flow',
  priority: 'Medium',
  tags: ['authentication', 'registration'],
  site: 'https://example.com/',
  task: 'Test new user registration process...',
};

🎯 TypeScript Benefits

✅ Full type safety for test configuration
✅ IntelliSense support in your IDE
✅ Compile-time error checking
✅ Auto-completion for test properties
✅ Refactoring support across your test suite

📊 Test Results

Each test execution creates:

📁 Session Directory: test-result/[test-id]_[timestamp]/
📝 Session Data: test-session.json with complete execution details
📊 Summary: summary.json with test outcomes
📸 Screenshots: Automatic visual documentation
🔄 Step Logs: Detailed execution tracking

Example Test Output

🎯 Running: QE-001 - Basic Login Test
📸 Screenshot taken: step-1-navigation.png
✅ Login successful - test completed!
📊 Result: PASSED

🎮 Interactive Features

Custom Test Creation

# Using npm scripts
npm run test:record

# Using npx/global
npx endorphin-ai run test-recorder

Create tests on-the-fly with guided prompts:

Custom navigation tasks
Form filling scenarios
Login test automation
Content verification

🏆 Why Choose Endorphin AI?

Traditional E2E Testing vs Endorphin AI

| Traditional Testing | Endorphin AI | | ------------------------------ | ------------------------------------------ | | ❌ Brittle CSS selectors | ✅ AI finds elements intelligently | | ❌ Breaks with UI changes | ✅ Self-healing tests with page context | | ❌ Complex setup | ✅ Zero configuration | | ❌ Hard to maintain | ✅ Plain English test descriptions | | ❌ Basic reporting | ✅ Interactive HTML reports with cost tracking | | ❌ Manual debugging | ✅ Visual debugging with AI vision verification | | ❌ Single AI provider lock-in | ✅ Multi-provider (OpenAI + Gemini) | | ❌ Manual test writing | ✅ Claude Code autonomous test generation |

🚀 Production Ready

✅ Enterprise Scale: Used in production environments ✅ Cross-Platform: Windows, macOS, Linux support ✅ CI/CD Integration: GitHub Actions, Jenkins, CircleCI ✅ Multi-Provider AI: OpenAI GPT-4o and Google Gemini ✅ 26 Built-in Tools: Comprehensive browser automation toolkit ✅ Vision Verification: AI-powered screenshot validation ✅ Type Safe: Full TypeScript support ✅ Extensible: Modular architecture with dependency injection

🔄 Staying Updated

Check Your Version

# Check current installed version
npx endorphin-ai --version

# Check latest available version on npm
npm view endorphin-ai version

# Check for outdated packages
npm outdated endorphin-ai

Update to Latest

# Update to the latest version
npm update endorphin-ai

# Or force install latest
npm install endorphin-ai@latest

# Verify the update
npx endorphin-ai --version

Version History & Features

v1.1.0 (Latest): Auto-inject page context, vision verification, 26 browser tools, sequential execution, fill reliability, Claude Code integration, recorder CLI, autonomous mode, Gemini crash recovery
v1.0.2: 12 new browser tools (hover, drag, scroll, tabs, file upload, etc.), multi-provider AI (OpenAI + Gemini)
v1.0.1: AI agent fleet, CI/CD stabilization, validation agent improvements
v1.0.0: Natural language testing via GPT-4o, 14 built-in tools, interactive recorder, HTML reports, JIRA integration, multi-user testing
v0.9.0: Smart test structure, enhanced HTML reports with cost tracking
v0.8.0: Custom tools support with CLI management
v0.6.x: Enhanced CLI, cross-platform CI/CD
v0.5.0: Advanced HTML reporting
v0.4.0: TypeScript-first experience
v0.3.0: endorphin-ai init command
v0.2.x: Core framework
v0.1.x: Initial release

Compatibility & Migration

Endorphin AI maintains backward compatibility across versions:

✅ All existing tests work without modification
✅ Configuration files are automatically migrated
✅ npm scripts continue to function normally
✅ Semantic versioning ensures predictable updates

Update with confidence - your existing tests won't break!

🤝 Support & Community

📚 Documentation

Quick Start Guide - Get up and running quickly
Project Setup Guide - Complete project setup
Test Structure Guide - Learn test structure with setup/data functions
Test Writing Tips - Enterprise & small app examples
Prompt Guide - Advanced AI prompting techniques
HTML Reporter Guide - Interactive reporting with cost tracking
Test Recorder Guide - Recording test workflows interactively
Claude Code Integration - AI-assisted test creation and repair
Vision Verification Guide - AI-powered screenshot verification
Environment Variables Guide - Configure your environment
Multi-User Testing Guide - Test with multiple browser sessions
VS Code Debugging Guide - Professional debugging setup
CI/CD Setup Guide - GitHub Actions integration
JIRA Integration Guide - Sync tests with JIRA

🐛 Issues & Feature Requests

Found a bug or have a feature idea? Open an issue on GitHub.

💬 Getting Help

Check the documentation first
Search existing issues
Create a new issue with details

📄 License

Endorphin AI is licensed under the GNU Affero General Public License v3.0 (AGPLv3).

For Open Source Projects: Free to use under AGPLv3
For Commercial Projects: Commercial licenses available

📧 Contact: [email protected] for licensing questions

Published

Vulnerabilities

Links

Maintainers

Keywords

Readme

💜 ENDORPHIN

E2E Testing Reinvented with AI

🎬 Watch Demo

🌐 Read in Your Language

🚀 Quick Start

📦 Installation & Setup

🔑 Add Your AI Provider API Key

▶️ Run Your First Test

🎬 Demo Video

📋 System Requirements

🔧 Troubleshooting Installation

Manual Setup (Alternative)

🎯 Core Features

🤖 AI-Powered Testing

👁️ Vision Verification

📊 Beautiful Reports

🎬 Report Demo

🛠️ Developer Experience

🤖 Claude Code Integration

🎮 Interactive Tools

🔄 Staying Updated

Current Version: v1.1.0

What's New in v1.1.0

Intelligence

Vision

Claude Code Integration

Bug Fixes

🚀 Project Initialization

New Projects (Recommended)

Existing Projects

Usage Commands

ℹ️ Version & Help

🎯 Initialize New Project

🧪 Run Specific Test

🏷️ Run Tests by Category

🎯 Run All Tests

🎬 Test Recorder Mode

🤖 Claude Code Integration

🎮 Recorder CLI (Programmatic)

📊 HTML Reports & Analytics

🚀 Quick Report Generation

✨ Report Features

📈 Interactive Dashboard

🔍 Advanced Search & Filtering

🎯 Detailed Test Analysis

⌨️ Productivity Features

📖 Complete Guide

🏗️ Framework Architecture

Key Components

⚙️ Configuration

Default Configuration

CLI Options

📝 Test Categories

Common Tags

Priority Levels

Example Test Organization

🔧 Smart Test Structure

🚀 Test Format

✨ Key Benefits

📁 Project Structure

📝 Test File Format

🎯 TypeScript Benefits

📊 Test Results

Example Test Output

🎮 Interactive Features

Custom Test Creation

🏆 Why Choose Endorphin AI?

Traditional E2E Testing vs Endorphin AI

🚀 Production Ready

🔄 Staying Updated

Check Your Version

Update to Latest

Version History & Features

Compatibility & Migration