jev↗router

MODEL ACCESS, WITH DIRECTION

One API.
A better route.

Your task. The right model. Call models directly or let Jev help choose — with clear prices, project budgets, and a record of every route.

Start building ↗Explore models →

OpenAI-compatible chat API · Text, streaming, and verified tools

A REQUEST, A DECISION, AN ANSWER
Your application POST /v1/chat/completions
jev/auto ↗Understand the task. Apply your limits.
Everyday tasksCodeReasoning

Your allowed models.
Your budget. A visible decision.

JEV SELECTS · THE MODEL GENERATES
01 / CONNECT

Change the endpoint.

Keep your chat integration. Use a single API key across the published model catalog.

02 / CONTROL

Set the boundaries.

Choose allowed models and monthly budgets. Keep each project’s credits and keys separate.

03 / UNDERSTAND

See what happened.

Inspect the selected model, routing reason, token usage, and final charge for each request.

FAMILIAR BY DESIGN

Less integration.
More possibility.

Start with a fixed model. Enable Jev routing after selecting an evaluated policy in your project.

Read the quickstart →
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.jevrouter.io/v1",
    api_key=os.environ["JEVROUTER_API_KEY"],
)

response = client.chat.completions.create(
    model="jev/auto",
    messages=[{"role": "user", "content": "Hello"}],
    max_tokens=256,
)