Local Development and Testing: Efficiently Debugging AI Apps Locally
Efficiently develop, test, and debug AI applications in a local environment, covering mocking strategies, debugging tools, and test data preparation.
Mocking Strategies
Use mock data during development to avoid consuming real API quotas. Define standard Response interfaces. All model calls go through the same abstraction layer — mock and real calls can seamlessly switch.
Debugging Tips
Use stream=True to see AI output in real-time, great for debugging complex prompts; log the complete request/response for each call to easily reproduce issues.
Test Data Preparation
Prepare 20-50 representative test cases covering normal, edge, and error cases. Test cases should come from real user scenarios, not arbitrarily constructed.
Local Proxy Tools
Use Charles Proxy or Proxyman to intercept AI API requests and inspect actual content sent — great for debugging network and request format issues.