Testing Documentation

Welcome to the comprehensive testing documentation for the ADK Agents system. This documentation covers the complete integration test suite designed following Google ADK integration testing patterns and best practices.

Overview

The ADK Agents system features a sophisticated multi-agent architecture with comprehensive integration testing using two complementary approaches:

Traditional Integration Testing

  • Agent Lifecycle Management - Complete conversation turns with context management
  • Workflow Orchestration - Sequential, parallel, iterative, and human-in-loop patterns
  • Advanced Context Management - Smart prioritization, cross-turn correlation, and RAG integration
  • Tool Orchestration - Complex tool coordination with error handling and recovery
  • Performance Verification - Load testing, optimization validation, and stress testing

ADK Evaluation Framework ⭐ NEW

  • Behavioral Testing - Real agent behavior validation using evaluation scenarios
  • Tool Usage Patterns - Expected tool usage and parameter validation
  • Multi-Agent Coordination - Agent communication and workflow validation
  • Memory & Persistence - Session continuity and knowledge retention testing
  • User Experience Testing - Real-world scenario validation with natural language queries

Documentation Structure

📋 Integration Testing Guide

The complete guide to running and understanding the integration test suite

  • Quick start instructions
  • Test suite architecture and hybrid approach (traditional + evaluation)
  • Test execution and result interpretation
  • CI/CD integration and automation
  • Performance monitoring and reporting

🎯 ADK Evaluation Framework ⭐ NEW

Comprehensive guide to behavioral testing using evaluation scenarios

  • Evaluation testing overview and benefits
  • Creating evaluation scenarios with JSON files
  • Tool usage validation and multi-agent coordination testing
  • Memory & persistence testing patterns
  • Running and maintaining evaluation tests

🔧 Test Patterns and Best Practices

Comprehensive guide to test patterns and architectural decisions

  • Core test patterns (Agent Lifecycle, Workflow Orchestration, Context Management)
  • Advanced testing patterns (Mock Strategy, Fixture Strategy, Performance Testing)
  • Best practices for test organization and maintenance
  • Anti-patterns to avoid and prevention strategies

⚡ Performance Testing Guide

Specialized guide for performance testing and optimization

  • Performance test categories and metrics
  • Load testing and stress testing patterns
  • Performance monitoring infrastructure
  • Optimization strategies and SLA validation
  • Baseline management and regression testing

🛠️ Troubleshooting Guide

Comprehensive troubleshooting and debugging guide

  • Common issues and solutions
  • Debugging techniques and tools
  • Error recovery strategies
  • Prevention and maintenance strategies
  • Quick reference and support resources

Quick Start

Running the Test Suite 

# Run all integration tests (traditional + evaluation)
./tests/integration/run_integration_tests.py

# Run with detailed output
./tests/integration/run_integration_tests.py --verbose

# Run in parallel mode (faster)
./tests/integration/run_integration_tests.py --parallel

# Run specific test suites
./tests/integration/run_integration_tests.py --suite "Foundation"
./tests/integration/run_integration_tests.py --suite "Performance"

Running ADK Evaluation Tests ⭐ NEW 

# Run all evaluation tests
uv run pytest tests/integration/test_adk_evaluation_patterns.py -v

# Run specific evaluation categories
uv run pytest tests/integration/test_adk_evaluation_patterns.py::TestADKEvaluationPatterns::test_multi_agent_coordination_evaluation -v

# Run evaluation tests with integration runner
./tests/integration/run_integration_tests.py --suite "ADK Evaluation"

# Validate evaluation test structure
uv run pytest tests/integration/test_adk_evaluation_patterns.py::TestADKEvaluationPatterns::test_evaluation_test_files_exist -v

Test Results

Tests generate comprehensive reports in test_reports/ including:

  • Detailed execution results with timings
  • Performance metrics and resource usage
  • Error analysis and recommendations
  • JSON reports for automation integration

Test Suite Statistics

Test Coverage

  • Total Integration Tests: 70+
  • Traditional Test Files: 5
  • Evaluation Test Files: 6
  • Test Categories: 5 phases + evaluation
  • Performance Tests: 16+
  • Mock Components: 15+
  • Evaluation Scenarios: 25+

Traditional Test Phases

  1. Foundation Tests (8 tests) - Agent lifecycle and workflow orchestration
  2. Core Integration Tests (15 tests) - Context management and RAG integration
  3. Tool Orchestration Tests (18 tests) - Advanced tool coordination
  4. Performance Verification (16 tests) - Load testing and optimization

ADK Evaluation Tests ⭐ NEW

  1. Behavioral Evaluation Tests (11 tests) - Agent behavior validation
    • Multi-Agent Coordination (6 scenarios) - Workflow orchestration and communication
    • Memory & Persistence (7 scenarios) - Session continuity and knowledge retention
    • Simple Code Analysis (3 scenarios) - Basic functionality validation
    • Sub-Agent Delegation (3 scenarios) - Hierarchical agent patterns
    • Tool Usage Validation (3 scenarios) - Tool parameter and execution testing

Key Features

🎯 Comprehensive Coverage

  • Complete agent lifecycle testing
  • All workflow pattern validation
  • Advanced context management testing
  • Tool orchestration with error handling
  • Performance and scalability testing
  • Behavioral evaluation testing ⭐ NEW

🔧 Advanced Testing Approaches

  • Traditional Integration Testing - Realistic LLM client simulation, multi-agent session state management
  • ADK Evaluation Framework ⭐ NEW - Behavioral testing with real-world scenarios
  • Tool execution behavior mocking and validation
  • Performance monitoring simulation
  • User experience testing with natural language queries

📊 Performance Monitoring

  • Real-time resource tracking
  • Memory leak detection
  • CPU and throughput monitoring
  • Token processing performance
  • Concurrent user simulation
  • Response quality tracking ⭐ NEW

🛡️ Error Handling

  • Comprehensive error scenario testing
  • Automatic recovery validation
  • Retry logic verification
  • Fallback strategy testing
  • State consistency validation
  • Behavioral error testing ⭐ NEW

🚀 Optimization

  • Parallel test execution
  • Cached test data and fixtures
  • Efficient resource utilization
  • Smart test prioritization
  • Performance baseline management
  • Evaluation scenario caching ⭐ NEW

🎨 Behavioral Testing ⭐ NEW

  • Natural Language Queries - Test with user-like interactions
  • Tool Usage Validation - Ensure correct tool selection and parameters
  • Multi-Agent Coordination - Test agent communication and workflow
  • Memory & Persistence - Validate session continuity and knowledge retention
  • Response Quality Assurance - Test agent response quality and relevance

Architecture Overview

Test Organization 

tests/
├── integration/
│   ├── test_agent_lifecycle.py          # Agent lifecycle and workflow tests
│   ├── test_context_management_advanced.py  # Advanced context management
│   ├── test_tool_orchestration_advanced.py  # Tool coordination tests
│   ├── test_performance_verification.py     # Performance and load tests
│   ├── test_adk_evaluation_patterns.py  # ADK evaluation framework tests ⭐ NEW
│   ├── evaluation_tests/                # Evaluation scenarios ⭐ NEW
│   │   ├── simple_code_analysis.evalset.json
│   │   ├── sub_agent_delegation.evalset.json
│   │   ├── tool_usage.evalset.json
│   │   ├── multi_agent_coordination.evalset.json
│   │   ├── agent_memory_persistence.evalset.json
│   │   └── test_config.json
│   └── run_integration_tests.py         # Comprehensive test runner
├── fixtures/
│   └── test_helpers.py                  # Mock utilities and fixtures
└── conftest.py                          # Pytest configuration

Core Components

Context Management

  • Smart Prioritization - Content relevance scoring
  • Cross-turn Correlation - Conversation relationship detection
  • Intelligent Summarization - Context-aware content reduction
  • RAG Integration - Semantic search with ChromaDB

Workflow Orchestration

  • Sequential Workflows - Step-by-step dependency management
  • Parallel Workflows - Concurrent execution optimization
  • Iterative Workflows - Feedback loop handling
  • Human-in-Loop - Approval and intervention points

Tool Orchestration

  • Dependency Management - Tool execution order coordination
  • Error Recovery - Automatic retry and fallback strategies
  • State Management - Consistent state across tool executions
  • Performance Optimization - Parallel vs sequential execution

Test Execution Patterns

Google ADK Integration Patterns

The test suite follows Google ADK integration testing patterns with both traditional and evaluation approaches:

  1. Agent Development Kit (ADK) Patterns
    • Multi-agent conversation testing
    • Context management across agents
    • Tool coordination and state sharing
    • Performance under concurrent load
    • Behavioral evaluation testing ⭐ NEW
  2. Gemini Integration Patterns
    • Realistic LLM interaction simulation
    • Token counting and optimization
    • Content generation and processing
    • Error handling and recovery
    • Natural language query testing ⭐ NEW
  3. Production Readiness Patterns
    • Scalability testing under load
    • Resource utilization monitoring
    • Performance SLA validation
    • Comprehensive error scenario coverage
    • User experience validation ⭐ NEW
  4. ADK Evaluation Framework Patterns ⭐ NEW
    • JSON-based evaluation scenarios
    • Tool usage pattern validation
    • Agent coordination testing
    • Memory and persistence verification
    • Response quality assessment

Test Execution Flow 

graph TD
    A[Test Suite Start] --> B[Phase 1: Foundation]
    B --> C[Phase 2: Core Integration]
    C --> D[Phase 3: Tool Orchestration]
    D --> E[Phase 4: Performance Verification]
    E --> F[Report Generation]
    F --> G[Performance Analysis]
    G --> H[Recommendations]
    
    B --> B1[Agent Lifecycle Tests]
    B --> B2[Workflow Orchestration Tests]
    
    C --> C1[Smart Prioritization Tests]
    C --> C2[Cross-turn Correlation Tests]
    C --> C3[RAG Integration Tests]
    
    D --> D1[Sequential Tool Execution]
    D --> D2[Parallel Tool Execution]
    D --> D3[Error Recovery Tests]
    
    E --> E1[Load Testing]
    E --> E2[Stress Testing]
    E --> E3[Performance Optimization]

Best Practices Summary

Test Development

  • Follow the 4-phase test structure
  • Use descriptive test names and documentation
  • Implement proper fixtures and mocking
  • Validate both success and failure scenarios

Performance Considerations

  • Use parallel execution where possible
  • Monitor resource usage during tests
  • Set appropriate timeouts and thresholds
  • Profile and optimize slow tests

Maintenance

  • Keep tests synchronized with system changes
  • Review and update mocks regularly
  • Monitor test execution times and performance
  • Document new patterns and lessons learned

Integration with Development Workflow

Continuous Integration

  • Automated test execution on pull requests
  • Performance gate validation
  • Test result reporting and notifications
  • Failure analysis and debugging support

Development Support

  • Local test execution for rapid feedback
  • Debugging tools and techniques
  • Performance profiling and optimization
  • Test-driven development patterns

Getting Started

For New Developers

  1. Read the Integration Testing Guide for comprehensive overview
  2. Explore the ADK Evaluation Framework ⭐ NEW for behavioral testing
  3. Review Test Patterns to understand architectural decisions
  4. Run the test suite locally to verify environment setup
  5. Explore test code to understand implementation patterns

For Test Developers

  1. Study existing test patterns in the test suite
  2. Learn the ADK Evaluation Framework ⭐ NEW for behavioral tests
  3. Follow the Test Patterns Guide for new tests
  4. Use the Performance Testing Guide for performance tests
  5. Refer to Troubleshooting Guide when issues arise

For System Administrators

  1. Set up CI/CD integration using provided examples
  2. Configure performance monitoring and alerting
  3. Establish baseline metrics for performance gates
  4. Monitor test execution and resource usage

Contributing

Adding New Tests

  1. Follow established test patterns
  2. Use appropriate fixtures and mocks
  3. Include performance considerations
  4. Update documentation as needed

Improving Performance

  1. Profile test execution to identify bottlenecks
  2. Optimize slow tests where possible
  3. Add performance tests for new features
  4. Update performance baselines

Documentation Updates

  1. Keep documentation synchronized with code changes
  2. Add troubleshooting entries for new issues
  3. Update examples and patterns
  4. Share knowledge with the team

Support and Resources

Internal Resources

  • Test Reports: test_reports/ directory
  • Test Logs: Generated during test execution
  • Performance Metrics: Included in test reports
  • Configuration Files: In tests/ directory

External Resources

  • Google ADK Documentation: For integration patterns
  • Pytest Documentation: For test framework features
  • AsyncIO Documentation: For async testing patterns
  • Performance Monitoring: For resource tracking

Future Enhancements

Planned Improvements

  • Enhanced performance monitoring
  • Additional test patterns and scenarios
  • Improved error analysis and reporting
  • Extended CI/CD integration features

Feedback and Suggestions

  • Report issues and bugs through standard channels
  • Suggest improvements to test coverage
  • Share new patterns and best practices
  • Contribute to documentation improvements

Next Steps: Start with the Integration Testing Guide to understand the complete test suite, then explore specific areas based on your needs.

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