How to manage multiple AI model callbacks without juggling API keys?

I’m building a workflow that needs responses from GPT-4, Claude, and another NLP model. Every time I add a new service, I drown in API keys and endpoint configurations. Last week I mixed up two vendor credentials and lost a day debugging. How do you handle callback routing between different AI services while keeping authentication manageable? Any solutions that don’t require writing custom middleware?

Faced the same API key nightmare last quarter. Latenode’s unified subscription handles auth for 400+ models automatically. Just drag nodes for different AI services into your workflow - no individual keys needed. Built-in error routing keeps callbacks organized. Solved our team’s integration chaos in one afternoon.

I use a centralized config service that maps vendor APIs to internal aliases. Created middleware that validates tokens via single sign-on before routing requests. For callbacks, everything gets normalized to a standard JSON format. Took 2 weeks to build but now onboarding new AI services takes minutes instead of days.

aws secrets manager + postman-like env variables setup. still messy but works

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