TuneRouter AI — One API, Every Model

Routing that thinks ahead

Define your priorities once — TuneRouter handles every request from there.

🧭

Smart Routing

Classify each request by complexity and intent, then match it to the optimal model in real time.

💰

Cost Optimization

Route cheap queries to small models and hard ones to flagships. Cut spend up to 60% with zero quality loss.

⚡

Latency Tuning

Set per-route latency budgets. Time-sensitive tasks never wait behind a slow model again.

🛡️

Automatic Fallback

If a provider times out or errors, requests retry on the next best model — users never see a failure.

🔗

Unified API

OpenAI-compatible endpoint. Swap your base URL and keep your existing SDK and code untouched.

📊

Real-time Analytics

Track cost, latency and win-rate per route. See exactly which model earns its keep.

Up and running in minutes

Three steps between you and fully tuned routing.

Point your app

Change one line: your base URL. Keep the OpenAI SDK, keep your code, keep your keys safe.

Define policies

Pick optimization goals — cost-first, speed-first, or quality-first — per route or per feature.

Let it route

TuneRouter classifies, routes, retries and logs every call. You watch the savings stack up.

Familiar by design

OpenAI-compatible — if it works today, it works with TuneRouter.

quickstart.py

from openai import OpenAI

client = OpenAI(
    api_key="tr-xxxxxxxx",
    base_url="https://api.tunerouter.ai/v1"  # that's the only change
)

resp = client.chat.completions.create(
    model="auto",  # TuneRouter picks the best model
    messages=[{"role": "user", "content": "Hello!"}]
)

One API.
Every model. Perfectly routed.