Tadpole

Description

LeapfrogAI is a self-hosted AI platform designed to be deployed in air-gapped environments. Tadpole is the fastest way to get started with LeapfrogAI locally. It runs a docker compose build of the LeapfrogAI API, language backend, and user interface - culminating in a locally hosted "Chat with an LLM" demonstration.

Disclaimer: This repo exists for demonstration purposes. For advanced production deployments, please select another deployment strategy from the LeapfrogAI main repo.

This has been tested on Mac and Linux. If you run into any issues while following Getting Started please open an issue:

• 🐛Bug Report🐛
• 💻Feature Request💻

Prerequisites

• Docker
• Continue.dev (For Code Recipe)

Getting Started

Under the hood, this repo uses docker-compose to run all the components. We have provided a simple set of basic recipes to get started with. By running any one of these recipes, Tadpole will automatically build, configure, and start the requisite components.

Common Components

Regardless of which recipe you pick, API Swagger Documentation can be accessed at http://localhost:8080/docs.

Chat

make chat

Leapfrog-UI will be running at http://localhost:3000/.

Code

This recipe is intended for use with a code extension such as Continue.dev. Tested with the v0.7.53 prerelease of Continue.dev.

To build/run the code backend:

make code

Modify your Continue.dev configuration in $HOME/.continue/config.json :

{
  "models":
  [{
    "title": "leapfrogai",
    "provider": "openai",
    "model": "leapfrogai",
    "apiKey": "freeTheModels",
    "apiBase": "http://localhost:8080/openai"
  }],
  "modelRoles": 
  {
      "default": "leapfrogai"
  }
}

Cleanup

When you are done with Tadpole you can run this command to cleanup:

make clean

What's next?

To learn more about the rest of LeapfrogAI, please checkout the LeapfrogAI GitHub Repo