AI Gateway

TL;DR * An enterprise LLM and MCP gateway is one control plane for both model requests and MCP tool calls, applying authentication, routing, budgets, rate limits, and security policy to every request. * Bifrost routes traffic to 25+ providers and 10,000+ models through one OpenAI-compatible API and governs MCP

A production-readiness comparison of five AI gateways: Bifrost, LiteLLM, Cloudflare AI Gateway, Kong AI Gateway, and AWS Bedrock. Compared on published overhead, governance depth, MCP support, deployment model, and observability, with a readiness matrix and evaluation criteria.

An enterprise buyer's comparison of five LLM gateways: Bifrost, LiteLLM, Cloudflare, Kong, and OpenRouter. Covers the buying questions that block deals, from self-hosting and audit logs to which features sit behind an enterprise tier.

TL;DR * Choose an open source LLM gateway on seven measurable criteria: latency overhead, provider coverage, governance, MCP support, deployment options, observability, and licensing. * Bifrost adds 11 microseconds of overhead per request at 5,000 requests per second and reaches 25+ providers and 10,000+ models through one OpenAI-compatible

TL;DR * Gateway observability means span-level tracing, metrics and alerting, audit trails, per-team cost attribution, and the ability to answer a compliance question after the fact. * Bifrost ranks first: native Prometheus, OpenTelemetry, and Datadog export, request and response logging with payload offload, HMAC-signed audit logs, and 11

Cloudflare AI Gateway is managed-only, with tiered log retention and MCP governance in a separate product. This guide compares the alternatives, with a side-by-side table and what migrating actually involves.