engineering · 1 min read
Multi-Modal Through the Gateway: Vision, Audio and Documents
Vision, audio and document inputs each have their own provider quirks. The gateway hides them. Here is how Bhogar AI handles every modality uniformly.
BABhogar AI TeamProduct & Engineering
Multi-modal inputs are increasingly the norm: images in support tickets, audio in sales calls, PDFs in compliance review. Each provider handles them slightly differently.
Why it matters
A gateway should normalise modality handling: same input shape regardless of provider, with capability-matched routing when the requested model does not support a modality.
How Bhogar AI approaches it
Bhogar AI gateway accepts mixed-modality inputs in a unified format and routes per modality + capability. Where the requested model lacks a modality, the gateway preprocesses (e.g. OCR for documents on text-only models) automatically.
- Unified mixed-modality input format
- Per-modality provider routing
- OCR preprocessing for text-only routes
- Audio transcription preprocessing where needed
- Cost and latency per modality reported
What you get
Multi-modal features ship faster and survive provider deprecations without per-feature rewrites.