AI Gateway

The best LLM gateway for fallback design retries failed requests, rotates API keys, and fails over across providers without code changes. This guide shows how Bifrost chains retries, fallback lists, routing rules, and adaptive load balancing, plus criteria for choosing a gateway.

TL;DR * Claude Code bills per token, and each agentic session can trigger dozens of high-cost model calls, so team-wide spend scales fast. Anthropic provides org-level rate limits but no per-developer or per-team budget caps. * An enterprise AI gateway between developers and the Anthropic API

OpenAI's Codex CLI has earned a strong reputation as a terminal-based coding agent with robust code generation and completion capabilities. It ships with native support for GPT models and ChatGPT OAuth authentication, making it a natural choice for developers already embedded in the OpenAI ecosystem. But modern

Google's Gemini CLI has rapidly become a go-to terminal-based coding agent, offering advanced reasoning capabilities and tight integration with the Google ecosystem. But production engineering teams rarely operate within a single provider's walled garden. Codebases demand different models for different tasks: a reasoning-heavy

Claude Code is one of the most capable agentic coding tools available today, bringing AI-powered development directly into the terminal. However, it is locked to Anthropic's model family by default. This means teams that want to experiment with GPT-5, Gemini 2.5 Pro, Groq, or models

TL;DR * The difference between monitoring LLM costs and controlling them is the enforcement layer: an AI gateway that blocks requests when a budget is exhausted, not a dashboard that reports the overage after the bill arrives. * Bifrost, the open-source AI gateway by Maxim AI, enforces cost policy in