5.3 KiB
ℹ️ This project is available on our self-hosted server and on CodeBerg and GitHub as mirrors. For the latest updates and comprehensive version of our project, please visit our primary repository at: https://code.apps.glenux.net/glenux/code-preloader.
Code-Preloader
Code-Preloader is a specialized tool designed to streamline the process of working on coding projects with interactive large language models (LLM) like ChatGPT, Claude, Mixtral 8x7B, etc.
It preloads and concatenates files from a specified directory, allowing for the seamless integration of customized prompts.
This tool is ideal for those who seek an alternative to tools like GitHub Copilot, enabling a tailored interaction with your favorite LLM.
Features
- Preload and concatenate files from a given directory.
- Customizable header and footer prompts for your LLM.
- Simple command-line interface for easy operation.
Limitations
Note: This tool is optimized for smaller codebases. For larger repositories, performance may not be optimal due to processing constraints and the nature of interactions with LLMs.
Prerequisites
Before installing and using Code-Preloader, make sure your system meets the following requirements:
-
Crystal Language: Code-Preloader is written in Crystal. Ensure you have the Crystal programming language installed on your system. For installation instructions, refer to the official Crystal language website.
-
Required Libraries: The following libraries are necessary for the proper functioning of Code-Preloader:
libevent
: Used for asynchronous event notification.libyaml
: Required for YAML parsing.libmagic
: Utilized for file type detection.make
: Used to define compilation rules
On a Debian-based system, you can install these libraries using the following command:
sudo apt-get install libevent-dev libyaml-dev libmagic-dev make
Installation
To get started with Code-Preloader, ensure that you have the prerequisites installed on your system (see above).
Then follow these steps to install:
git clone https://code.apps.glenux.net/glenux/code-preloader
cd code-preloader
make prepare
make build
make install
Usage
Run Code-Preloader with the following command-line options:
CodePreloader v0.1.0
Usage: code-preloader [options] DIR ...
Options:
-c FILE, --config=FILE Load parameters from FILE
-i REGEXP, --ignore=REGEXP Ignore file or directory
-o FILE, --output=FILE Write output to FILE
-H FILE, --header-prompt=FILE Load header prompt from FILE
-F FILE, --footer-prompt=FILE Load footer prompt from FILE
--version Show version
-h, --help Show this help
Examples
Basic Use Case
To preload all files in the src
directory and output to result.txt
, while
ignoring the git
the bin
directory, and the result file itself:
./bin/code-preloader -o result.txt -i .git -i result.txt -i bin/ src
Advanced Use Case
To preload all files in the src
directory and output to clipboard, prepending
and appending prompts, while ignoring the git
the bin
directory, and the
result file itself:
./bin/code-preloader \
-i .git -i bin/ -i result.txt -i prompts \
-H prompts/context.txt -F prompts/request-readme.txt \
src \
| ctrlc
Note ctrlc
is my alias to xclip -selection clipboard -i
Advanced with configuration file
You can also do the same by storing all parameters within a configuration file
(ex: code_preloader.yml
).
---
ignore_list:
- .git
- code_preloader.yml
- bin
- prompts
output_file_path: null
header_prompt_file_path: prompts/context.txt
footer_prompt_file_path: prompts/request-readme.txt
Then type
./bin/code-preloader -c code_preloader.yml src | ctrlc
Note ctrlc
is my alias to xclip -selection clipboard -i
Contributing
Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
Troubleshooting and Support
If you encounter any issues or need support, please open an issue in the project's GitHub issue tracker. We strive to be responsive and helpful.
License
Distributed under the LGPL-3.0-or-later License. See LICENSE
file for more
information.
Acknowledgments
- A special thanks to all contributors and users of this project for their valuable feedback and support.
- Inspired by the community's need for efficient code preparation tools in the context of AI-assisted programming.