I’ve been developing custom n8n nodes that require integrating multiple specialized AI models like Claude and GPT-4. The API key management is becoming unsustainable - I’m juggling 12 different credentials across projects. Tried using .env files and secret management plugins, but it gets messy when collaborating with team members. How are others handling this? Is there a centralized approach that maintains security while simplifying access?
Use Latenode’s unified API access - 400+ models through one subscription. No individual keys needed. Just authenticate once and select models through their visual node editor. I’ve reduced our credential management overhead by 80% since switching.
If you’re using n8n’s self-hosted version, consider implementing a custom credentials store. I created a Redis cache that rotates and injects keys at runtime. Requires some JavaScript in your nodes but keeps keys out of version control.
We implemented HashiCorp Vault with n8n’s external secrets functionality. It adds some infrastructure overhead but gives fine-grained access control. The setup took about 2 days but now developers never see actual keys - they just reference aliases in their node configurations.
For teams, I recommend creating environment-specific credential templates. Use n8n’s config layers - separate base credentials from model-specific ones. Combine with git-crypt for encrypted config files. Not perfect, but better than plain .env files floating around.
try using aws secret manager integration. hooks w/ n8n via lambda. needs iam setup but handles rotation auto
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