A tool for collecting and documenting code for LLM context
Project description
Viterbo
A tool for collecting and documenting code files for LLM context.
Overview
Viterbo helps collect source code files from various languages and compile them into a readable format for inclusion in LLM prompts. It scans directories and individual files, extracts structured information like docstrings and comments, and generates comprehensive documentation in text or markdown format.
Features
- Multiple input sources: Process directories and specific files in a single command
- Multi-language support: Python, C/C++, R, JavaScript, TypeScript, and many other languages
- Directory tree visualization: Shows the structure of your codebase
- Documentation extraction: Extracts docstrings, comments, and code structure
- Output formats: Generate documentation in plain text or markdown
- README inclusion: Optionally include README.md files in the documentation
- Line numbering: Add line numbers to code for easy reference
- Organized output: Collects code with clear section headers showing file paths
- Clipboard support: Copy output directly to clipboard for easy pasting
Installation
# Install with Poetry
poetry install
# Or using pip
pip install viterbo
For clipboard functionality, make sure to install the required dependency:
# Using Poetry
poetry add pyperclip
# Or with pip
pip install pyperclip
Usage
Command Line
# Basic usage - copy Python files to clipboard
viterbo source_directory
# Process specific files and copy to clipboard
viterbo file1.py file2.py file3.py
# Process mixed directories and files
viterbo src/ utils.py config/ main.py
# Save to output file with -o/--output-file flag
viterbo source_directory -o output.txt
# Multiple sources with output file
viterbo src/ lib/ main.py --output-file doc.txt
# Enhanced usage with multi-language support
viterbo /path/to/source -o output.txt --extensions .py .cpp .h .R
# Include README.md files
viterbo /path/to/source --include-readme -o output.txt
# Extract and include docstrings/comments
viterbo /path/to/source --include-docstrings -o output.txt
# Add line numbers to code
viterbo /path/to/source --add-line-numbers -o output.txt
# Generate markdown output
viterbo /path/to/source main.py -o output.md --format md
Python API
from viterbo import document_files
# Document Python and C++ files in markdown format
document_files(
source_paths=["/path/to/source", "main.py", "/another/dir"],
output_file="output.md",
file_extensions=[".py", ".cpp", ".h"],
include_readme=True,
include_docstrings=True,
add_line_numbers=True,
output_format="md"
)
# Copy to clipboard instead of writing to a file
document_files(
source_paths=["src/", "main.py", "config.py"],
output_file=None, # None means copy to clipboard
file_extensions=[".py", ".js"],
include_docstrings=True
)
# For backward compatibility, the original function is still available
from viterbo import document_python_files
document_python_files(
source_paths="/path/to/source", # Either a string or list of paths
output_file="output.txt", # or None for clipboard
include_docstrings=True,
add_line_numbers=True
)
Output Examples
Text Output
# Code Documentation
# Generated on: 2025-05-01 10:21:33
# Sources: 3 directories/files
# 1. /path/to/source
# 2. main.py
# 3. /another/dir
# Directory Structure:
/path/to/source/
├── README.md
├── src/
│ ├── main.py
│ └── utils.py
└── tests/
└── test_main.py
main.py
/another/dir/
├── config.py
└── helpers.py
...
Markdown Output
The markdown output includes syntax highlighting and better formatting for documentation.
Clipboard Support
When no output file is specified, Viterbo will copy the documentation to your system clipboard:
# Copy documentation to clipboard
viterbo ./my_project --include-docstrings
This is especially useful when:
- Quickly retrieving code for pasting into an LLM interface
- Sharing code snippets in messaging apps
- Documenting code without creating temporary files
Development
# Clone the repository
git clone https://github.com/pboerr/viterbo.git
cd viterbo
# Install development dependencies
poetry install
# Running tests
poetry run pytest
# Building the package
poetry build
License
MIT
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