AI Gateway

Bifrost is the enterprise AI gateway for automatic fallback routing, with multi-provider failover, governance, and audit control for regulated teams. Large language model providers return 5xx errors, enforce 429 rate limits, and experience regional outages on a recurring basis, and a single unhandled provider failure can take down a

Bifrost uses adaptive load balancing and automatic fallbacks to keep your AI app running when an LLM provider fails, with zero application code changes. Production AI applications that depend on a single LLM provider fail whenever that provider returns 429 rate-limit errors, 5xx server errors, or a full regional

Bifrost is an open-source LLM gateway for enterprise scalability. Use this criteria framework to evaluate any AI gateway for production reliability and scale. Enterprise AI workloads now span multiple models and providers, and the gateway that routes traffic between them is the single component that most directly limits throughput,

Compare AI gateways for secure scaling in 2026. See how Bifrost delivers 11µs latency overhead, MCP support, and enterprise governance for production AI. A production AI stack stops being a single-provider integration the moment a second model, a coding agent, or an MCP tool server enters it. At that

An enterprise AI gateway is one control point for routing, governance, and security across AI traffic. The architecture, and how Bifrost implements it. A single enterprise now runs model traffic from dozens of applications, a fleet of coding agents on developer machines, and a growing set of MCP tool servers,

Bifrost vs LiteLLM compared on runtime, throughput, governance, and MCP support. Bifrost is the best choice for enterprises running mission-critical AI workloads that require best-in-class performance, scalability, and reliability. Both of these gateways solve the same first problem well: one OpenAI-compatible endpoint in front of every