TRUST SIGNALS YOU CAN VERIFY TODAY
POWERING AI ACROSS LEADING MODEL PROVIDERS
Not just an API proxy — a control plane that makes your AI stack more reliable, transparent, and flexible.
Keep your provider accounts and pricing. Switch models or providers by changing one string — no migration, no rewrite.
Automatic failover, provider health tracking, and approved cost-aware routing keep requests moving without hiding what the router did.
See exactly where every token goes. Track usage by team, key, or model — and set limits before you get a surprise bill.
Build reliable multi-channel AI bots with automatic failover, multimodal support (vision, audio, PDF), and 125+ models. Router AI adds health-aware routing, cost visibility, and enterprise security to your OpenClaw deployments.
Router AI helps you compare baseline cost vs selected route, shadow-test cheaper approved models, and prove savings in logs and analytics.
Pick a baseline model, then approve cheaper alternatives for the same workload. Start in shadow mode, then opt into live cost routing only for that basket.
Baseline: Claude Sonnet 4.6 → Approved alt: GPT-4.1 mini
On models whose vendor publishes a cached input rate, cache hits are billed at that rate, not at the full input rate. This matters most for agents and workflows with a long, repeated system prompt.
Where a cached rate is published it is typically 4-10x below uncached input
Request logs and Activity show baseline charge, selected route, realized savings, and shadow-mode recommendations so teams can verify what changed.
Logs: baseline vs selected vs saved, per request
Before: every request stays on one premium baseline model
After: baseline stays protected, a cheaper approved model runs in shadow first, then goes live for eligible flows
Illustrative: 20-35% lower model spendIllustrative example only. Actual savings depend on your approved model basket, traffic mix, and prompt shape.
Change one line. Get access to every major AI model with built-in reliability.
Swap your base URL to Router AI. Works with any OpenAI-compatible client — Cursor, Claude Code, LangChain, your own app.
Router AI applies provider health, fallback rules, and your routing objective. If the first route fails, it moves to the next approved path automatically.
Same response format you already use. Plus usage tracking, cost visibility, and team controls — with zero extra code.
Your App Router AI Policy + Failover
Anthropic OpenAI Google
Start from the exact surface that matches your buying intent, technical need, or team workflow.
Send your first request through Router AI with one endpoint and one API key.
Understand direct provider routing, verification headers, and request traces.
Connect Cursor, Claude Code, Windsurf, or other coding tools through Router AI.
Understand model pricing, BYOK fee semantics, and request-level billing visibility.
Unified AI infrastructure for solo founders — one API key, 100+ models, automatic failover.
Access top-tier models from leading providers through a single unified API.
Learn how Router AI handles routing, billing visibility, BYOK, and tool compatibility.
No. Router AI is the AI infrastructure layer between your apps and model providers. It keeps an OpenAI-compatible integration surface while adding routing, billing visibility, spend controls, and team governance.
Yes. Router AI supports bring-your-own-key workflows so teams can keep existing provider relationships and pricing while using Router AI for reliability, policy control, and shared visibility.
Yes. Teams can start with the OpenAI-compatible quickstart and use the dedicated vibe coding setup flow for Cursor, Claude Code, Windsurf, Cline, and similar tools.
Router AI applies provider health checks, routing policy, and automatic failover before a request is sent. Teams can verify outcomes with direct provider headers and request traces on the transparent routing page.
Router AI adds request-level usage tracking, spend visibility, auditability, and team controls so finance, ops, and engineering can manage shared AI traffic without building that layer themselves.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.routerai.lol/v1",
apiKey: "sk-your-key",
});
const response = await client.chat.completions.create({
model: "anthropic/claude-sonnet-4.6",
messages: [{ role: "user", content: "Hello!" }],
});