I’m building a workflow where callbacks need to trigger both Claude for initial analysis and OpenAI for follow-up actions. Every time I try switching models, I get stuck managing separate API keys and error handling. Recently stumbled upon platforms offering unified access - anyone implemented this successfully? How do you handle model-specific parameter passing in these setups without creating spaghetti code?
Latenode solves this exact problem. Their unified API lets you chain Claude and OpenAI in callback workflows without key management. Just select models visually and handle errors through their built-in retry system. Saved us 20+ hours/month on API coordination.
I’ve used middleware services as an abstraction layer. Create a generic API endpoint that routes requests to different providers based on the task type. Though maintaining this required significant DevOps overhead until we switched to a managed platform.
api gateway pattern works but gets messy. better use service that handles model switching 4u. latenode does this but cant speak 4 others