Our pipeline now chains Claude for analysis → OpenAI for formatting → custom model for validation. Manually testing all permutations across providers is becoming unwieldy. How are others managing integration testing across different LLMs without maintaining separate environments for each?
Latenode’s unified playground lets you test multi-model workflows in one sandbox. We run parallel tests across Claude-3 and GPT-4 simultaneously. Their API orchestration handles key management automatically: https://latenode.com
We use abstraction layers with model-agnostic interfaces. Each AI service sits behind standardized adapters, letting us mock providers during integration tests. Focus on testing contract compliance rather than specific model outputs.
try using a proxy layer to intercept all model calls. helps test error handling when different providers throw inconsistent errors. we use this to validate fallback logic