dabao-yi/model-flux

★ 16TypeScriptAudience · developerComplexity · 3/5LicenseSetup · moderate

Mindmap

mindmap
  root((ModelFlux))
    What it does
      Routes AI API traffic
      Manages key pools
      Auto failover
      Format translation
    Features
      OpenAI-compatible API
      Model name aliases
      Web admin console
      Key health tracking
    Deployment
      Local Node.js
      Docker
    Tech stack
      TypeScript
      Node.js

mindmap root((ModelFlux)) What it does Routes AI API traffic Manages key pools Auto failover Format translation Features OpenAI-compatible API Model name aliases Web admin console Key health tracking Deployment Local Node.js Docker Tech stack TypeScript Node.js

Click or tap to explore — scroll the page freely

Things people build with this

USE CASE 1

Point your AI coding tool or app at a single ModelFlux address and let it distribute requests across multiple API keys so you never hit rate limits.

USE CASE 2

Set up automatic failover so your app keeps working when individual AI API keys hit limits or return errors.

USE CASE 3

Create model name aliases so your app uses friendly names while ModelFlux maps them to the real provider model names.

USE CASE 4

Manage multiple AI provider accounts through a web admin console without editing config files.

Tech stack

TypeScriptNode.jsDocker

Getting it running

Difficulty · moderate Time to first run · 30min

Requires Node.js or Docker, Docker users need to understand container-to-host networking to avoid common configuration mistakes.

MIT license, use freely for any purpose, including commercial use, as long as you keep the copyright notice.

In plain English

ModelFlux is a traffic router for AI language model APIs. It sits between your application or AI coding tool and the upstream AI providers, giving you a single stable address to point everything at, while it handles the complexity of managing multiple API keys, switching between providers when one fails, and translating between different API formats. The core problem it solves is key pool management. If you have multiple API accounts for a provider, ModelFlux distributes requests across them, tracks which ones are unhealthy (hitting rate limits or returning errors), puts those on cooldown, and automatically retests them to recover them when possible. This means your application keeps working even as individual keys cycle through limits. It exposes an OpenAI-compatible interface, so anything that can send requests to OpenAI's API format can point to ModelFlux instead without code changes. You can define model aliases that map names your application sends (like a well-known model name) to whatever the upstream provider actually calls the equivalent model. It supports several AI providers directly, and a web-based admin console at a local URL lets you manage key pools, test connections, and adjust routing without editing configuration files manually. Deployment options include running it as a local Node.js process or in Docker. The README includes detailed guidance on the network configuration differences between these scenarios, particularly around how Docker containers address each other versus how host processes address local ports, which is a common source of configuration mistakes. ModelFlux is written in TypeScript and released under an MIT License. It is aimed at developers or power users who are routing AI traffic through multiple accounts or providers and want automated failover without building that logic themselves.

Copy-paste prompts

Prompt 1

I have multiple OpenAI API keys. Using ModelFlux, how do I set up a key pool so requests are distributed across all of them with automatic failover when one hits rate limits?

Prompt 2

How do I deploy ModelFlux with Docker and configure my AI app to point to it as a drop-in OpenAI API replacement?

Prompt 3

How do I create a model alias in ModelFlux so that when my app sends a request for 'gpt-4', it routes to a different provider's equivalent model?

Prompt 4

How do I access the ModelFlux web admin console to monitor which API keys are healthy and which are on cooldown?

Open on GitHub → Explain another repo

← dabao-yi on gitmyhub — every repo by this author, as a profile.

Verify against the repo before relying on details.