The Multi-Provider LLM Problem: Why “One API” Is Not Enough

1. AI teams are moving from one model to many
2. The hidden cost of multiple providers
3. Why simple wrappers fail
4. What developers actually need:
   • observability
   • governance
   • reliability
   • raw response access
   • routing transparency
5. What we are exploring with HUBAPI
6. Ask for feedback

I’m exploring this problem through HUBAPI, a pre-launch unified LLM API layer focused on provider access, request observability, routing transparency, scoped keys, and usage visibility.

I’m not looking for signups as much as sharp feedback from developers who have actually dealt with multi-provider LLM workflows.

What would you need before trusting a unified LLM API layer in production?