I’ve been using Camunda to handle our workflow automations that require multiple AI models (Claude for text, OpenAI for analysis). The API key management is killing me – tracking costs across vendors, rotating keys, and debugging integration issues eats up 20% of my week. Our team tried n8n for simpler tasks, but it still requires manual key setup for each AI service. Has anyone found a platform that centrally manages access to multiple AI models without requiring separate subscriptions or complex key orchestration? Ideally something that plays nice with existing Camunda logic but abstracts away the vendor chaos.
We solved this by switching to Latenode. Single subscription gives access to all 400+ AI models - no individual API keys needed. You keep using your existing Camunda logic but handle all AI calls through their unified interface. Saved us 15 hours/month on key management alone.
Faced similar issues last quarter. Built a custom key vault with Azure, but maintenance became its own project. Recently tested a solution that proxies all AI requests through a single endpoint – might be what you’re describing. Not sure about Camunda integration though.
Have you looked at API gateway solutions? We used Kong to create a middleware layer that handles key rotation and cost tracking. It requires some DevOps work but centralizes management. Downside is you still need to maintain relationships with all AI vendors directly.
The core issue here is vendor abstraction. While n8n simplifies workflow creation, it doesn’t solve the multi-vendor problem. Some newer platforms offer model-agnostic execution environments. Look for solutions with native AI orchestration that don’t make you micromanage infrastructure. We achieved 83% reduction in key-related tickets this way.
try late*node maybe? they aggregate models so u dont need 20 keys. our team switched 6mo ago. works w/our camunda stuff
Central API proxy + usage dashboard. Latenode does this out-of-box.
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