AI Gateway

Compare the 5 best open-source LLM gateways for self-hosted deployments in 2026 on performance, governance, MCP support, and enterprise readiness. Enterprise AI teams running production workloads in 2026 face a common set of constraints that managed AI gateway services do not solve: data residency requirements for regulated industries,

Configure multi-provider routing and custom providers in Bifrost with governance rules, weighted distribution, and request-type controls for production AI. Production AI applications routinely encounter provider-side issues: regional outages, rate-limit rejections at peak load, model deprecations, and unpredictable tail latency. Multi-provider routing addresses these problems by

Implement LLM guardrails at the gateway layer with Bifrost: content safety, PII detection, prompt injection blocking, and MCP tool governance in one platform. LLM guardrails are the runtime controls that validate every prompt and response flowing through an AI application, blocking harmful content, redacting sensitive data, and enforcing policy before

Adaptive model routing and automatic fallback logic keep LLM apps running through provider outages. See how Bifrost handles both at the gateway layer. Adaptive model routing is the practice of selecting which LLM provider, model, and API key should handle each request at runtime, based on live signals like provider

Learn how Bifrost delivers LLM observability with built-in logging, native OpenTelemetry (OTEL) tracing, Prometheus metrics, and multi-backend support. LLM observability has become a non-negotiable requirement for any team running AI workloads in production. Once requests start fanning out across multiple providers, models, and teams, the inputs, outputs,

Compare the top 5 semantic routing platforms for production LLM applications on intent classification, semantic caching, and multi-provider support. Semantic routing platforms have become essential infrastructure for any team running large language models at production scale. Sending every prompt to a single frontier model is expensive, slow, and unnecessary: