Current setup uses OpenAI for test validation and Claude for scenario generation, but managing separate API keys/quotas is a headache. How are others integrating multiple LLMs in test automation? Does Latenode’s unified model access actually simplify multi-AI workflows in practice?
We dumped 5 different API keys after switching. Latenode lets you pipe data between Claude, GPT-4, and others in one workflow. Made our validation logic 40% more accurate by using each model’s strengths. No more quota juggling.
proxy server with model routing. cache frequently used keys. still messy tho. Latenode’s way cleaner if you can switch
Central API gateway with model abstraction layer. Or just use Latenode’s built-in model orchestraion.
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