The intelligent layer for AI

Every prompt deserves
the right model.

Valefront is an LLM router: one OpenAI-compatible API that routes each request to a suitable model across providers by task, quality, cost, and latency, with automatic fallbacks.

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Free to start · No infrastructure to manage
your applicationPOST /v1/chat/completions
{ "model": "auto",
  "messages": [{ "role": "user", "content": "Summarize this call" }] }
ValefrontROUTING ENGINE
illustrative routingEXAMPLE
AA capable modelprovider 1
◈A fallback modelprovider 2
✳Another modelprovider 3
INTENT · QUALITY · COST · LATENCY — ROUTED IN REAL TIME

One integration. The models you already use.

◈ OpenAI✳ Google✺ Anthropic◉ Meta⌘ Mistral
Meet your AI control plane

Smarter routing.
Less work for your team.

Stop hardcoding model choices. Valefront understands what each request needs and routes it across your stack with the right balance of quality, speed, and spend.

Route with intent

Match each prompt to the model that handles its complexity, context, and format best. Set your rules once; adapt as your needs change.

Make every token count

Choose the lowest-cost model that meets your quality bar. Keep premium models for the moments that need them.

Stay resilient by default

Automatic fallbacks keep your product responsive when a provider slows down or an endpoint goes offline.

Built for your stack

One endpoint.
Your whole model stack.

Keep the API you know. Point your app at Valefront and switch, compare, or combine providers without rewriting your integration.

Read the quickstart
quickstart.ts
import OpenAI from 'openai';

const ai = new OpenAI({
  baseURL: 'https://llm.valefront.com/v1',
  apiKey: process.env.VALEFRONT_KEY,
});

const answer = await ai.chat.completions.create({
  model: 'auto',  // Valefront picks the right fit
  messages: [{ role: 'user', content: prompt }],
});
Frequently asked questions

Clear answers about Valefront.

What is Valefront?

Valefront is an LLM router that provides one OpenAI-compatible API for sending requests to suitable models across providers.

How does routing choose a model?

Routing considers the request's task, quality requirements, cost, and latency, then selects a suitable model and can use automatic fallbacks.

Which providers are supported?

Valefront routes across the providers implemented by the service; current provider availability is shown in the dashboard.

Is the API OpenAI-compatible?

Yes. Valefront provides an OpenAI-compatible API so compatible applications can use one endpoint.

How do I start?

Use the Valefront dashboard to get started, then point your application at the Valefront API base URL.

How much does Valefront cost?

Pricing is managed in the Valefront dashboard; this landing page makes no claim about a free or paid plan.

Let your app think bigger.

Give your AI stack room to find its best model.

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