FeedYourAI

A command-line tool to combine files from a directory into a single file for AI processing, with flexible filtering options.

Features

• Combines multiple text files into one output file
• Filters files by:
  • Size
  • File extensions (e.g., .txt, .md)
• Preserves file boundaries with headers showing filename and size
• Customizable input directory and output file

Installation

Prerequisites

• Rust (latest stable version recommended)

Install via Cargo

cargo install feedyourai

Or,

cargo install --git https://github.com/alexandretrotel/feedyourai.git

This installs the fyai binary to ~/.cargo/bin/. Ensure this directory is in your PATH.

Usage

Run fyai in your terminal to combine files:

Basic Usage

fyai

• Combines all files from the current directory into feedyourai.txt

Options

USAGE:
    fyai [OPTIONS]

OPTIONS:
    -d, --dir <DIR>          Sets the input directory [default: .]
    -o, --output <FILE>      Sets the output file [default: feedyourai.txt]
    -e, --ext <EXT>          Comma-separated list of file extensions to exclude (e.g., txt,md)
    -n, --min-size <BYTES>   Exclude files smaller than this size in bytes (default: 51200)
    -m, --max-size <BYTES>   Exclude files larger than this size in bytes
    -h, --help               Print help information
    -V, --version            Print version information

Examples

• Combine .txt and .md files from a specific directory:

  fyai -d ./docs -e txt,md
  

• Include all files (no size minimum) up to 1MB:

  fyai -n 0 -m 1048576
  

• Custom output file with files between 10KB and 500KB:

  fyai -n 10240 -m 512000 -o ai_input.txt
  

Output Format

The combined file includes headers for each source file:

=== File: example.txt (12345 bytes) ===
[contents of example.txt]

=== File: notes.md (67890 bytes) ===
[contents of notes.md]

Contributing

Contributions are welcome! Please:

1. Fork the repository
2. Create a feature branch
3. Submit a pull request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Built with Rust
• Uses clap for command-line parsing