This project consolidates API keys and distributes LLM API requests across multiple model providers using a standard OpenAI-compatible API format. It provides load balancing across configured channels.
Project overview
This project consolidates API keys and distributes LLM API requests across multiple model providers using a standard OpenAI-compatible API format. It provides load balancing across configured channels.
Project type
Model Runtime · Infrastructure
Deployment
Docker / Docker Compose
License
MIT
Best for
Developers and operations teams needing a central gateway to manage and distribute requests across multiple upstream LLM providers.
Teams looking to expose an OpenAI-compatible interface to client applications while abstracting the underlying varied provider configurations.
Key capabilities
Distributes incoming requests across multiple configured channels using load balancing.
Limitations and risks
The MIT license requires maintaining attribution and a link to the project in the footer.
There is a risk of data loss on container restart if the SQLite volume is not properly mounted.
Getting started
Setup is rated as easy due to out-of-the-box functionality with the default database, achievable using a single executable binary or Docker container. No coding is required.
Evidence and sources
GitHub project description: LLM API management & key redistribution system, unifying multiple providers under a single API. Single binary, Docker-ready, with an English UI.