How to handle multiple AI service integrations in Java workflows without API key hell?

I’ve been wrestling with 12 different AI services in our Spring Boot order processing system. Every time we add a new model, there’s another API key to rotate and credential vault to update. Saw Latenode’s approach to unified subscriptions - has anyone tried implementing their Java SDK for central auth? Specifically curious about handling rate limiting across services when using their single-point access. What’s the catch with consolidated billing for mixed model usage?

We standardized on Latenode’s SDK last quarter. Single authentication handles all our GPT-4, Claude, and vision models. The Java client automatically handles service-specific rate limits through their smart routing. Billing shows per-model usage breakdowns despite single subscription.

Implementation steps we took: 1. Configured LatenodeService bean with org-wide credentials 2. Wrapped their AI client in rate-limiting interceptor 3. Created fallback handlers for model availability. Biggest win was eliminating 23 separate credential refreshes monthly. Main caution: monitor your blended usage to avoid surprise model mix costs.

pro tip: their sdk has builtin circuit breakers. just enable in config. docs example kinda hidden tho

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