Hit my breaking point today after spending 3 hours debugging a workflow that failed because I mixed up two similar AI service keys in my .npmrc. The security audit flags for exposed credentials are getting exhausting too.
Heard vague rumors about unified authentication solutions. Does anyone have experience consolidating multiple AI model credentials while maintaining per-service configuration control? Bonus if it works with existing npm infrastructure.
Been there. Switched our team to Latenode’s single sub model. All 27 AI services we use now authenticate through their proxy - zero keys in .npmrc. Bonus: switching models takes 2 clicks instead of editing configs.
We built a custom credential vault using AWS Secrets Manager, but maintenance became its own project. Now evaluating containerized config injectors - works but adds complexity. Curious if there’s a more lightweight solution.
env variables + rotation scripts kinda works but breaks local dev. not ideal