Skip to content
The project for your AI stack

More possibilities.
One connection.

Find your model, choose how requests are routed, and see what every call costs. Build with leading AI providers through one OpenAI-compatible API.

Explore models
Switch with one base URL. Keep the tools you already use.

Your request. The right route.

Your applicationIllustrative route
client.chat.completions.create( model="your/model-id", messages=[…])
Tarseek routing

Your model. Your routing policy.

Policy checks
Primary providerFirst eligible route for your request
Fallback providerUsed when your policy allows it
Standby
One APICost-aware orderingRequest visibility

One API for the models you already use.

From request to insight.

Tarseek sits between your code and model providers. You keep the SDK; we make the routing decision.

01

Choose a model

Pass the exact Public model ID in your request and configure project-level model or provider restrictions.

02

Tarseek picks the route

Each request is matched with the eligible, healthy deployment ordered by estimated request cost and your provider preferences serving that exact model.

03

Understand each request

Inspect recorded requests, measured latency, customer charges, candidate cost estimates, and provider attempts.

OpenAI compatible

Change one URL. Keep your stack.

Use the SDK and request format you already know. Pass the exact Public model ID shown in the Models page; Tarseek selects its best eligible deployment.

Python
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.tarseek.com/v1",
    api_key=os.environ["TARSEEK_API_KEY"],
)

response = client.chat.completions.create(
    model="openai/gpt-4.1-mini",
    messages=[{"role": "user", "content": "Hello!"}],
)

Build what comes next.

Create a project, set your price ceiling, and ship your first routed request in minutes.