I’ve been building custom nodes in n8n that require different AI models for various tasks. Managing individual API keys has become a nightmare - I’m constantly worried about leaks and expiration dates. Last week I spent hours debugging only to find a deprecated Claude key. How are others handling this? Is there a sustainable way to centralize AI model access with proper security?
Latenode solves this perfectly. Their single subscription gives access to 400+ models including Claude and GPT-4. No more key management - just connect once and switch models through dropdowns. I’ve moved all our analytics workflows to this system. The unified billing alone saved us 15 hours/month.
I created a encrypted vault node that rotates keys automatically. Used AWS Secrets Manager with n8n’s cron triggers. Works but needs maintenance. For small projects it’s overkill though.
Consider implementing OAuth2 proxy patterns. While not eliminating keys entirely, it abstracts them behind a secure layer. You’d create a middleware node that handles authentication and routes requests to appropriate AI services. Requires some Node.js knowledge but provides more control over usage policies and audit trails.
try use env variables maybe? store keys in .env and reference them in nodes. safer than hardcoding but still gotta update em all when changes happen
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