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Builds plaintext code prompts for Large Language Models (LLMs) from code bases, suitable for code analysis and assistance.

Project description

code-prompt-builder

A lightweight Python library to construct plain-text code prompts from your code bases, designed for use with Large Language Models (LLMs) in code analysis and assistance tasks.

Description

code-prompt-builder simplifies the process of feeding code to your LLM. It reads files from your project, optionally filtering by file types and directories, and structures them into a single string suitable for LLM input.

This makes it easy to ask LLMs to analyze your code, identify potential issues, or even generate code suggestions.

Installation

pip install code-prompt-builder

Usage

Here's a simple example of using code-prompt-builder:

from code_prompt_builder.utils import build_code_prompt

# Specify directories containing your code
repo_dir_paths = ["path/to/your/code/directory"] 

# Create the code prompt
code_prompt = build_code_prompt(repo_dir_paths=repo_dir_paths)

# Now you can use 'code_prompt' as input to your LLM
print(code_prompt)

Function Parameters

  • repo_tree_paths: A list of root directory paths to walk through and collect files.
  • repo_dir_paths: A list of directories to read files from directly (no recursive walk).
  • repo_file_paths: A list of specific files to include.
  • include_file_regex: (Optional) A regular expression to include only matching files.
  • exclude_file_regex: (Optional) A regular expression to exclude matching files.

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