Sunday, December 21, 2025

“Ask HN: What are Effective Strategies for Integration Testing AI and LLMs?”

Navigating Integration Testing with LLMs: A Critical Insight

In the dynamic world of software integrating with external Large Language Models (LLMs), encountering unexpected schema changes can derail your project’s success.

Currently, we rely on mocked responses in our unit and end-to-end tests. After a recent model update, discrepancies became apparent only in production. Here’s what we’ve learned:

  • Current Challenge: Mock responses led to undetected errors due to schema changes.
  • Proposed Solution: Implementing a suite that sends real requests to the LLM provider could enhance testing.
  • Considerations: While real-time tests may catch errors, LLMs’ nondeterministic nature could introduce flakiness.

This topic invites discussions on practical testing strategies. How does your team tackle integration testing for LLMs?

💡 Let’s share ideas and foster innovation! Comment below or engage with this post. Your insights could pave the way for better practices in our industry.

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