Routing AI Across 38 Providers
Building an AI gateway that treats providers as interchangeable infrastructure rather than platform dependencies.
When you depend on a single AI provider, you inherit their outages, their rate limits, their pricing changes, and their content policies. You build your product on their schedule, not yours.
Gatewyse exists because that dependency is unacceptable for production systems.
The routing problem
The surface-level problem is simple: send a request to provider A, and if it fails, try provider B. Every team that has built this internally knows the surface-level solution takes about a day. The production-grade solution takes months.
Provider APIs are not interchangeable. Response formats differ. Streaming implementations vary. Error codes mean different things. Rate limits operate on different windows. Authentication mechanisms range from API keys to OAuth to custom headers.
38 providers, one interface
Gatewyse normalizes all of this behind a single OpenAI-compatible API. The caller does not know or care which provider handles the request. Thirty-eight provider adapters, from OpenAI and Anthropic to Groq, Cerebras, and local Ollama. Failover is automatic. Load balancing is configurable across ten routing strategies, free-tier-first by default. Usage and cost are tracked in one place.
Per-provider circuit breakers, an immutable hash-chained audit log, RBAC, and SSO over OIDC and SAML. This is not a wrapper library. It is infrastructure.
Why it matters
AI capabilities are commoditizing. The provider you choose today may not exist tomorrow. Building on an abstraction layer means your product survives provider churn without code changes.
That is what infrastructure means.