Aggregate models
Bring multiple model sources into one API layer and reduce provider-specific integration work.
AI API Gateway
An AI API gateway for unified model access, routing, and team management
When applications need to connect multiple LLM providers, HKR API gives teams one gateway for model access, compatibility, and routing.
Core AI API gateway capabilities
Unify API formats
Support OpenAI-compatible, Claude-compatible, and Gemini-compatible workflows under one gateway.
Centralize routing
Manage model selection, distribution, and team access policy at the gateway layer.
Who it is for
AI application developers
Spend less time integrating model APIs and more time building product behavior.
Technical teams
Create one managed model access layer for permissions, cost control, and interface standards.
Model experimentation teams
Compare models and adjust routing strategies without rebuilding every application.
AI API gateway FAQ
How is an AI API gateway different from a simple proxy?
An AI API gateway focuses on model aggregation, compatible formats, routing, and team-level model access management.
Why not connect every model directly in the app?
Direct integrations push compatibility, keys, routing, and maintenance into every application. A gateway centralizes that work.
When should a team introduce HKR API?
It becomes useful when multiple models, multiple projects, or shared team access need a consistent API layer.