BabySea - Execution layer across inference providers for AI models
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BabySea is the execution layer in front of inference providers for generative media. It standardizes execution into a unified API and schema, abstracting model and provider differences, translating requests, and routing them with built-in failover. Developers integrate once and can switch, combine, or upgrade models without changing their code.
Replies
Hey everyone 👋
I built BabySea after hitting what turned out to be the hardest part of building AI apps:
Even for the same capability, every model and every provider exposes a different interface.
I ended up writing adapters for everything.
It didn’t scale.
So I built BabySea.
One API
One schema
Automatic failover across providers
BabySea sits in front of providers and handles execution:
routes requests across providers
handles retries and failures
normalizes request/response
tracks cost and performance
If you're building with AI image/video models, I’d love your feedback 🙌
Happy to answer anything!
Switching models without changing code sounds super useful. Which providers are supported right now?
@daniel_rachlin
Hey Daniel, great question 🙌
Right now BabySea supports 70+ models across inference providers like Replicate, Fal, BytePlus, Cloudflare, Black Forest Labs, and OpenAI.
The key thing is: you don’t integrate them individually.
You send one request using our unified schema, and BabySea handles:
provider-specific mapping
routing across providers
automatic failover if one goes down
You can also define your preferred provider order via:
and we handle the execution behind the scenes.
Full model + schema coverage here:
👉 https://babysea.ai/model-schema
Curious, are you currently using multiple providers?