AI Gateway

TL;DR: LLM rate limiting is one of the biggest blockers to scaling AI applications in production. Enterprise AI gateways solve this by intelligently distributing requests across providers, keys, and models, ensuring uninterrupted service even under heavy load. This article breaks down the top 5 AI gateways purpose-built to

This guide outlines a practical framework for making LLM token usage traceable and governable, and explains how Bifrost solves this at the infrastructure layer so platform teams can understand where tokens go, who consumes them, and how to control it. Every interaction with a large language model costs money. Tokens

Running LLM applications in production without observability is operationally reckless. When costs spike, teams struggle to determine whether traffic increased or an agent entered a recursive loop. When quality drops, it is unclear whether prompts regressed, retrieval failed, or a new model version introduced subtle behavior changes. And when compliance

Cloudflare AI Gateway has established itself as a convenient entry point for teams looking to proxy and monitor LLM traffic. With free-tier access to basic analytics, caching, and rate limiting, it works well for lightweight AI applications running on Cloudflare's edge infrastructure. However, as organizations scale AI

TL;DR: Claude Code is a powerful agentic coding tool, but it's locked to Anthropic's models by default. Bifrost, an open-source AI gateway by Maxim AI, lets you route Claude Code requests through any LLM provider, including OpenAI, Google Gemini, Mistral, and more. The Claude

TL;DR: Claude Code is a powerful terminal-based coding agent, but managing multiple MCP servers alongside it creates tool sprawl and security gaps. Bifrost, the open-source LLM gateway by Maxim AI, acts as an MCP gateway that centralizes tool connections, governance, and observability for Claude Code. Route all