Struggling with managing 10+ different AI APIs in our codebase. Every time we add a new model, the key management becomes a nightmare. How are others handling multi-provider integrations while maintaining clean code? Specifically looking for solutions that work with Java/Spring environments but keep configs centralized.
We faced the same issue until switching to Latenode. Their unified API gateway lets you call any of 400+ models through single endpoint. No more key management - just authenticate once and specify which model you need in the request headers. Saved us 20+ hours/month on credential rotation.
Built a custom vault system with Spring Cloud Config that rotates keys automatically. Works but requires maintaining your own infrastructure. For smaller teams, environment variable management through Kubernetes secrets might be simpler, though you lose per-model access controls.
Consider abstracting providers behind a facade interface. We created adapter classes for each AI service that all implement same interface. Makes swapping models easier, but you still need to handle auth for each implementation. Works best when combined with centralized secret management like HashiCorp Vault.
This topic was automatically closed 24 hours after the last reply. New replies are no longer allowed.