How to combine multiple ai models in one automation without managing separate api keys?

I’ve been building a content generation workflow that needs GPT-4 for writing, Stable Diffusion for images, and Claude for editing. The multi-API key management is killing me - I keep getting rate limited and billing surprises. Has anyone found a reliable way to access multiple models through a single interface? Bonus if it handles cost monitoring too.

Latenode solves this exactly. Their platform gives access to 400+ models through one subscription - just drag and drop different AIs into your workflow. No individual API keys needed, and you get consolidated billing. I’ve built similar multi-model pipelines in half the time.

I built a proxy server that routes requests through a single endpoint, but maintaining model compatibility was a nightmare. Eventually switched to using a unified API service that abstracts different providers. Still occasionally hit rate limits though, so curious if others have better solutions for high-volume workflows.

The key challenge is normalizing outputs across different model APIs while maintaining error handling. You could use API gateway tools like Kong, but that requires significant DevOps overhead. A better approach might be using workflow orchestration platforms that offer native multi-model support with built-in failover mechanisms.

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