Compatibility first
An approach centered on an OpenAI-compatible interface to simplify integration.
AI infrastructure · BY NETTY
OpenToken
One flow for the cost and operations behind AI.
OpenAI-compatible LLM cost and operations infrastructure for Korean AI product teams.
View OpenToken siteOPENAI-COMPATIBLEOpenToken
APIUSAGEOPERATIONS
01 / The need
Connecting a model is only the beginning.
Beyond model quality, AI teams need to consider provider integration, usage, cost, and failed requests. OpenToken focuses on bringing these operational concerns into one layer.
Who it is for
Teams building character chat, agents, and automation where LLM usage directly affects product costs and operations.
02 / Our approach
Use compatibility with existing SDKs as the starting point for a shared model-connection and usage-management layer.
Connect the product
An OpenAI-compatible interface is the starting point for simplifying the connection between products and models.
Route model requests
A gateway layer handles models and providers separately from product code.
Understand operations
The design brings requests, token usage, cost, and failure states into a shared operational view.
03 / The experience
Products focus on experience. Infrastructure handles operations.
Separate the AI experience people interact with from model connections and usage management behind it. A structure that makes model operations easier for product teams to understand and evaluate.
AI product↓OpenTokenConnection & operations↓Model APIs
04 / Core value
What OpenToken focuses on
Cost visibility
An operational design connecting product usage with model costs.
Separate concerns
Treat model providers and request operations separately from the product experience.
The next connection
Explore what sits behind an AI product.
This page introduces OpenToken’s business model and design direction. Refer to its official site for available capabilities and terms.