The Bottleneck Was Never the Model — It's the Routing Layer

<p><strong>TL;DR: We measured failover latency across three AI gateways (Bifrost, LiteLLM, Portkey) during 30 days of production traffic at Nexus Labs. Bifrost added 11ms p99

<h1> AI API Gateway </h1> <p>Stop hard-coding provider-specific API calls throughout your codebase. This gateway gives you a single unified interface to OpenAI, Anthropic, Google,

<p>How it works:</p> <p>Request arrives at an OpenAI-compatible endpoint<br /> Classifier detects task type + complexity<br /> Adaptive router picks the highest-scoring model for

<h1> I Stopped Paying GPT-4 for Simple Queries </h1> <p>You know that feeling when you send "What's 2+2?" to GPT-4 and watch $0.03 vanish?</p> <p>I was burning through my OpenAI

<p>In many enterprise workflows, classification sounds simple.</p> <p>An email arrives.<br /><br /> A ticket is created.<br /><br /> A request needs to be routed.</p> <p>At first

<p>At the International AI Summit in Dublin, OpenAI Chief Financial Officer Sarah Friar took the stage to announce that the lab is holding back a breakthrough model. According to

<p>Your agent hits a rate limit. The fallback logic kicks in, picks an alternative model. Everything should be fine.</p> <p>Except the request still goes to the original model.

<blockquote> <p><strong>TL;DR</strong></p> <ul> <li>A "smart router" is not a model — it's a rules engine fed by <em>fresh, segmented</em> approval-rate data.</li> <li>Inputs you