Start here
Understand the AI gateway layer before you choose a model stack.
Begin with the category guide, connect your first client, then lock in the terms your team needs for build, buy, and migration decisions.
Read the gateway guideAI API Gateway
Every AI Model.
One API.
Practical guides for teams lowering AI costs, routing intelligently, and switching providers without turning product code into provider glue.
Free to start. Change one line. Route across every provider.
01 What is an AI API gateway?
Define the operating layer between your app and model providers.
02 Start with one linePoint an OpenAI-compatible SDK at betarouter and route requests across providers without rewriting your app.
03 AI API gateway glossaryAlign your team on the language AI infrastructure buyers use.
Featured
Answer-first content for AI infrastructure decisions.
Each article starts with a direct answer, then expands into implementation details, cost controls, routing trade-offs, and links to the product documentation.
Introducing the betarouter blog
The betarouter blog publishes practical guides for teams using every AI model through one API, with lower costs, smart routing, and provider switching.
Short answer: The betarouter blog is the public learning hub for teams building with every AI model through one API: lower costs, smart routing, provider switching, billing, reliability, and operational patterns.
AI API gateway for AI startups
How AI startups use betarouter to ship faster, lower model costs, route across providers, and avoid provider lock-in.
Short answer: AI startups can use betarouter as the model access layer for their product: one API across providers, generally up to 40% discounted model pricing, smart routing, failover, budgets, usage tracking, and provider switching without rewriting product code.
AI API gateway for indie developers
How indie developers can use betarouter to build AI-powered products with one API, discounted model access, routing, budgets, and provider switching.
Short answer: Indie developers can use an AI API gateway to build AI-powered products faster while keeping model costs and provider risk under control. betarouter gives indie builders one API across model providers, generally up to 40% discounted model pricing, OpenAI-compatible setup, smart routing, budgets, and provider switching without rewriting app code.
AI API gateway for SMEs
How SMEs can use betarouter to manage AI model access, lower costs, set budgets, and build reliable AI-powered services.
Short answer: SMEs can use an AI API gateway to give teams one controlled way to access AI models. betarouter helps SMEs lower model costs with generally up to 40% discounted pricing, manage budgets and users, route across providers, track usage, and keep AI-powered services reliable without maintaining custom gateway infrastructure.
AI failover: how to keep your app working when a model provider fails
Learn how AI failover works, why provider outages happen, and how betarouter helps route requests to working models without rewriting product code.
Short answer: AI failover keeps an application working when a model provider is slow, rate-limited, unavailable, or returning errors. Instead of baking fallback logic into every app, teams can use an AI API gateway such as betarouter to route requests to available models, centralize retry behavior, and switch providers without rewriting product code.
How to migrate from direct OpenAI calls to betarouter
A migration guide for teams moving from direct OpenAI API calls to betarouter for multi-provider routing, cost controls, budgets, and failover.
Short answer: Teams can migrate from direct OpenAI calls to betarouter by moving API keys and base URLs to betarouter's OpenAI-compatible endpoint, then gradually adding routing, budgets, usage tracking, and failover. The migration keeps the app close to its existing OpenAI SDK shape while adding multi-provider control.