HUBAPI
One API layer for teams building with multiple LLM providers
2 followers
One API layer for teams building with multiple LLM providers
2 followers
Access leading LLM providers through one planned gateway, one key, one balance, and one dashboard. Join the private beta to test smart routing, scoped keys, model comparison, and usage visibility. Plan for cost savings with provider comparison, intelligent routing, caching, and fallback strategies. HUBAPI is designed to let developers keep their existing LLM SDK workflow while routing requests through a unified gateway during the private beta.
I’m researching how developers and AI teams manage multiple LLM providers such as OpenAI, Claude, Gemini, Mistral, Llama, and others.
The pain points I’m seeing are:
separate API keys
separate billing accounts
different SDK patterns
model pricing changes
fallback logic
usage visibility
team key permissions
For those building AI products with more than one provider:
What would a unified API layer need before you’d trust it in your workflow?
I’m especially interested in:
key management
data retention
cost visibility
model routing
OpenAI-compatible APIs
team controls
I’m building a pre-launch prototype in this space and trying to validate the right requirements before beta.