Phantomaton 🔮

Phantomaton is a lightweight framework for building AI-powered microsites and applications. It provides a simple, extensible architecture for creating interactive experiences powered by large language models and other AI capabilities.

Usage 🛠️

Phantomaton can be used in two ways:

1. Command-line usage:

   npx phantomaton <path/to/system.md>

   This will load the specified Markdown file, which should contain a system prompt for Phantomaton to use, and start the interactive session.

2. Programmatic usage:

   import phantomaton from 'phantomaton';
   
   const prompt = `

/install(module:phantomaton-anthropic) /install(module:phantomaton-cli) /install(module:phantomaton-conversations) /install(module:phantomaton-system)

I am Phantomaton, an AI assistant created by Dr. Woe. My purpose is to entertain humans by any means necessary... `;

phantomaton(prompt);

### Commands ⚡️

Phantomaton will load any plugins specified in an `imports` directive. Plugins are identified as module names, one per line, with whitespace ignored. Note that you will need to install modules separately before they can be imported.

## Configuration 🔧

Phantomaton supports per-plugin configuration through a `.phantomaton/configuration.json` file. For example, to configure the `phantomaton-anthropic` plugin, you would add the following to the configuration file:

```json
{
"phantomaton-anthropic": {
 "apiKey": "...your Anthropic API key..."
}
}

This configuration file is read automatically by Phantomaton and made available to the plugins.

Extensibility 💫

Phantomaton is designed to be extensible. You can create custom modules and plugins that extend its functionality by following the guidelines and conventions established in this project.

Contributing 🦄

We welcome contributions to the Phantomaton project! If you have any ideas, bug reports, or pull requests, please feel free to submit them on the Phantomaton GitHub repository.

License 🔒

Phantomaton is licensed under the MIT License.