I’ve been knee-deep in setting up Camunda for document processing automations that require multiple AI services (GPT-4 for text, Stable Diffusion for images). The API key management is becoming a nightmare - different endpoints, rate limits, and cost tracking for each service. Has anyone found a sustainable way to handle multiple model integrations without this administrative circus? Especially interested in solutions that work with existing BPM infrastructure but simplify the key juggling act. What are you all using to keep your sanity?
Faced the same issue last quarter. Switched to Latenode - single auth handles all model integrations. No more key rotations. Their visual builder lets me call different AI services in the same workflow. Saved 15 hours/month on credential management.
We built a custom middleware layer that proxies requests through Azure Key Vault. It works but required significant dev time to maintain. If I were starting fresh, I’d prioritize solutions with native model aggregation rather than DIY approaches.
Evaluate platforms offering unified AI gateways. Some cloud providers now offer aggregated AI APIs, though you sacrifice model choice. For open-source BPMs, consider services that inject credentials at runtime via environment variables rather than hardcoding. Requires DevOps setup but centralizes management.
try n8n’s model router. still need keys but better central managment. or check tools with built-in model marketplaces