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🧪 Add Comprehensive Async Testing Framework for VoltAgent#86

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codegen-bot/async-testing-framework-complete
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🧪 Add Comprehensive Async Testing Framework for VoltAgent#86
codegen-sh[bot] wants to merge 1 commit intomainfrom
codegen-bot/async-testing-framework-complete

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@codegen-sh codegen-sh bot commented Jul 29, 2025

🚀 Overview

This PR establishes a comprehensive async testing framework for the VoltAgent TypeScript AI Agent Framework, providing robust testing utilities and patterns specifically designed for asynchronous operations.

✨ Key Features

🔧 Testing Infrastructure

  • Jest Configuration: Optimized for async testing with 30s timeout and custom matchers
  • TypeScript Support: Full type safety with path mapping (@/ and @tests/)
  • Custom Matchers: Extended Jest with async-specific matchers

🛠️ AsyncTestUtils Library

  • delay() and delayedReject() - Controlled timing utilities
  • waitFor() - Condition polling with timeout
  • waitForSettlement() - Promise settlement tracking
  • runConcurrently() - Concurrent operation execution and measurement
  • retry() - Retry mechanism with exponential backoff
  • createControllablePromise() - Manual promise control for testing
  • measureExecutionTime() - Performance measurement utilities

🎯 Custom Jest Matchers

// Test promise resolution within timeout
await expect(asyncOperation()).toResolveWithin(1000);

// Test promise rejection within timeout  
await expect(failingOperation()).toRejectWithin(500);

// Test eventual value equality with polling
await expect(() => getAsyncValue()).toEventuallyEqual('expected', 5000);

🤖 Agent Framework

  • Agent Class: Async processing, streaming, health checks, timeout handling
  • AgentManager: Multi-agent coordination, concurrent processing, event system
  • Error Recovery: Robust error handling and state management

📊 Test Coverage

Unit Tests

  • ✅ Agent async operations (processing, streaming, health checks)
  • ✅ AgentManager multi-agent coordination
  • ✅ AsyncTestUtils utility functions
  • ✅ Error handling and recovery scenarios
  • ✅ State management and lifecycle

Integration Tests

  • ✅ End-to-end async workflows
  • ✅ Performance and load testing (50 agents, 1000 operations)
  • ✅ Memory pressure scenarios
  • ✅ Concurrent user request simulation
  • ✅ Real-world AI agent pipeline simulation

Performance Benchmarks

  • ✅ High concurrency handling (50+ agents)
  • ✅ Load testing with concurrent operations
  • ✅ Memory management validation
  • ✅ Timeout and resilience testing

🏗️ Project Structure

├── src/
│   ├── agent.ts              # Core Agent class with async operations
│   ├── agent-manager.ts      # Multi-agent coordination
│   └── index.ts              # Main exports
├── tests/
│   ├── setup.ts              # Global test setup & custom matchers
│   ├── utils/
│   │   ├── async-test-utils.ts     # Async testing utilities
│   │   └── async-test-utils.test.ts # Utility tests
│   ├── agent.test.ts         # Agent unit tests
│   ├── agent-manager.test.ts # AgentManager tests
│   └── integration/
│       └── async-integration.test.ts # E2E integration tests
├── jest.config.js            # Jest configuration
├── tsconfig.json            # TypeScript configuration
└── package.json             # Dependencies and scripts

🚀 Getting Started

# Install dependencies
npm install

# Run all tests
npm test

# Run tests in watch mode
npm run test:watch

# Run with coverage
npm run test:coverage

# Run only async tests
npm run test:async

💡 Usage Examples

import { Agent, AgentManager } from 'voltagent';
import { AsyncTestUtils } from './tests/utils/async-test-utils';

// Basic agent usage
const agent = new Agent({ name: 'my-agent', timeout: 5000 });
await agent.initialize();
const response = await agent.processRequest('Hello, world!');

// Multi-agent coordination
const manager = new AgentManager();
await manager.createAgent({ name: 'agent-1' });
await manager.createAgent({ name: 'agent-2' });
const results = await manager.processAcrossAgents(['agent-1', 'agent-2'], 'batch request');

// Advanced async testing
const { results, duration, errors } = await AsyncTestUtils.runConcurrently([
  () => agent1.processRequest('test1'),
  () => agent2.processRequest('test2'),
  () => agent3.processRequest('test3')
]);

🎯 Benefits

  • Async-First: Built specifically for asynchronous AI agent operations
  • Comprehensive Testing: Covers unit, integration, and performance scenarios
  • Developer Experience: Rich utilities and custom matchers for easier testing
  • Production Ready: Robust error handling and resource management
  • Scalable: Tested with high concurrency and load scenarios
  • Type Safe: Full TypeScript support with proper type definitions

This framework provides a solid foundation for building and testing async AI agents with confidence! 🚀


💻 View my work🚫 Ban all checks • 👤 Initiated by @ZeeeepaAbout Codegen

Description by Korbit AI

What change is being made?

Add a comprehensive asynchronous testing framework to VoltAgent, including Jest configuration, async utility functions, agent management, and extensive test coverage.

Why are these changes being made?

These changes are aimed at enhancing VoltAgent's testing capabilities with robust support for asynchronous operations, which is crucial due to its agent-based architecture. This approach ensures more reliable and efficient testing, facilitating better development practices and improving overall software quality.

Is this description stale? Ask me to generate a new description by commenting /korbit-generate-pr-description

- Add Jest configuration optimized for async testing with 30s timeout
- Create AsyncTestUtils library with utilities for async operations
- Implement custom Jest matchers (toResolveWithin, toRejectWithin, toEventuallyEqual)
- Add Agent class with async processing, streaming, and health checks
- Add AgentManager for multi-agent coordination and concurrent processing
- Create comprehensive test suites covering unit, integration, and performance scenarios
- Add TypeScript configuration with path mapping and strict type checking
- Include performance benchmarks and real-world AI agent pipeline simulation
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