Flux is a graph-based LLM power tool designed for exploring multiple parallel completions from large language models. It targets users who need to generate a wide variety of creative responses, test prompt variations with shared context, and identify model uncertainties through response inconsistencies.

How It Works

Flux generates completions in a tree structure, allowing users to branch out from a single prompt and explore numerous possibilities simultaneously. This approach facilitates a more comprehensive and nuanced interaction with LLMs compared to linear, single-response generation.

Quick Start & Requirements

• Install locally via git clone https://github.com/paradigmxyz/flux.git, npm install, and npm run dev.
• Requires Node.js and npm.
• An OpenAI API key is necessary for operation.
• Try online at flux.paradigm.xyz.

Highlighted Details

• Generates multiple completions per prompt in a tree structure.
• Facilitates parallel exploration of LLM responses.
• Supports prompt testing with shared context.
• Identifies model uncertainty through response inconsistencies.
• Features robust keyboard shortcuts, system message setting, message editing, and autosaving to local storage.

Maintenance & Community

• Open issues list proposed features and known issues.

Licensing & Compatibility

• MIT License.
• Permissive for commercial use and closed-source linking.

Limitations & Caveats

• Relies on the OpenAI API, requiring an API key and incurring associated costs.