AI API Proxy for Testing - QA & Testing Environment Guide

Testing Strategies

Implement comprehensive testing strategies for your AI API proxy. From unit tests to load testing, ensure reliability and performance before production deployment.

Mock Services

Create realistic mock AI API responses for consistent testing without relying on external services.

Essential

Contract Testing

Verify API contracts between your gateway and backend services to prevent integration issues.

Recommended

Load Testing

Simulate high traffic scenarios to identify bottlenecks and validate performance under stress.

Critical

Chaos Engineering

Test system resilience by introducing failures in network, services, and infrastructure.

Advanced

Testing Configuration Example YAML

# gateway-test-config.yaml
testing:
  mode: "integration"
  
  mock_services:
    enabled: true
    responses:
      ai_complete: "./mocks/ai-response.json"
      timeout: "500ms"
  
  load_test:
    users: 1000
    duration: "5m"
    ramp_up: "30s"
    endpoints:
      - path: "/api/v1/chat"
        method: "POST"
        expected_latency: "200ms"
  
  assertions:
    status_code: 200
    response_time: "<500ms"
    error_rate: "<0.1%"

Test Coverage — Aim for 80%+ code coverage across all gateway components
Automated Regression — Run full test suite on every code change
Performance Baselines — Establish and track performance metrics over time
Environment Parity — Ensure test environment mirrors production as closely as possible

80%+

Code Coverage

<5min

Test Suite Runtime

99%

Pass Rate

24/7

CI/CD Pipeline

Partner Resources

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Testing Strategies

Mock Services

Contract Testing

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