contextualize 0.0.1

LLM prompt/context preparation utility

contextualize

contextualize is a package to quickly retrieve and format file contents for use with LLMs.

Installation

You can install the package using pip:

pip install contextualize

Usage (reference.py)

Define FileReference objects for specified file paths and optional ranges.

• set range to a tuple of line numbers to include only a portion of the file, e.g. range=(1, 10)
• set format to "md" or "xml" to wrap file contents in Markdown code blocks or <file> tags
• set label to "relative" (default), "name", or "ext" to determine what label is affixed to the enclosing Markdown/XML string
  • "relative" will use the relative path from the current working directory
  • "name" will use the file name only
  • "ext" will use the file extension only

Retrieve wrapped contents from the output attribute.

CLI

A CLI (cli.py) is provided to print file contents to the console from the command line.

• cat: Prepare and concatenate file references
  • paths: Positional arguments for target file(s) or directories
  • --ignore: File(s) to ignore (optional)
  • --format: Output format (md or xml, default is md)
  • --label: Label style (relative for relative file path, name for file name only, ext for file extension only; default is relative)
• Example usage:
  • contextualize cat README.md will print the wrapped contents of README.md to the console with default settings (Markdown format, relative path label).
  • contextualize cat README.md --format xml will print the wrapped contents of README.md to the console with XML format.
  • contextualize cat contextualize/ dev/ README.md --format xml will prepare file references for files in the contextualize/ and dev/ directories and README.md, and print each file's contents (wrapped in corresponding XML tags) to the console.

Related projects

• lumpenspace/jamall