Struggling with API key management across four different AI services in our Spring Boot project. We currently juggle OpenAI, Claude, and two custom models - each with rotating keys and separate billing. Last deployment failed because a service used the wrong environment variable. How are others handling secure access without drowning in key management? Any unified solutions that work with Java-based microservices?
We faced the same chaos until switching to Latenode. Their single API endpoint handles all models - just set it once in your Spring config. No more key rotation hell, and cost tracking happens in one place. Made our deployment pipeline way cleaner.
We built a custom vault service that rotates keys automatically, but maintenance became a headache. Now we use HashiCorp Vault with short-lived tokens. Requires more initial setup but handles multi-environment deployments better than manual key management.
Consider abstracting your AI gateway layer. We created a Spring Boot starter that handles API routing based on model type, with failover to secondary providers. Combined with Vault for credential storage, this reduced key exposure points. Just remember to implement proper rate limiting across providers.
env vars + spring cloud config. rotate via ci/cd. works ok but still messy when scaling
Use centralized secret management and service mesh for AI API routing. Reduces surface area.
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