llm-docagent 1.0.1

AI-powered documentation generator for code projects

Project Title & Description

The Docagent project is a Python-based documentation generator that provides comprehensive technical documentation for software projects. It is designed to be flexible and adaptable to various project types and languages, making it a valuable tool for developers and users alike.

Features

The Docagent project offers the following key features:

• Multi-language support: Supports documentation generation for projects written in multiple programming languages.
• Comprehensive documentation: Generates detailed documentation that includes project statistics, architecture, installation instructions, usage examples, and API/code reference.
• Customizable templates: Allows users to customize the documentation template to suit their specific needs.
• LLM-based documentation generation: Utilizes Large Language Models (LLMs) to generate high-quality documentation that is both accurate and engaging.

Architecture

The Docagent project is organized into the following main components:

• Core: The core module contains the main logic for generating documentation, including the LLM-based documentation generation.
• Analyzer: The analyzer module is responsible for analyzing the project code and extracting relevant information for documentation generation.
• Providers: The providers module contains the LLM-based documentation generation providers, which are used to generate high-quality documentation.
• CLI: The CLI module provides a command-line interface for users to interact with the Docagent project.

Installation

To install the Docagent project, follow these steps:

1. Clone the repository: git clone <repository-url>
2. Create a virtual environment: python -m venv venv
3. Activate the virtual environment: source venv/bin/activate (on Windows: venv\Scripts\activate)
4. Install dependencies: pip install -r requirements.txt

Usage

To use the Docagent project, follow these steps:

1. Run the CLI: python -m docagent
2. Provide the project path: --project-path <project-path>
3. Choose the documentation generation mode: --mode <mode> (e.g., --mode comprehensive for comprehensive documentation generation)
4. Customize the documentation template: --template <template> (optional)

API/Code Reference

The Docagent project provides the following key functions, classes, or modules:

• DocumentationGenerator: The main class responsible for generating documentation.
• CodeAnalyzer: The class responsible for analyzing the project code and extracting relevant information for documentation generation.
• LLMManager: The class responsible for managing the LLM-based documentation generation providers.

Configuration

The Docagent project requires the following environment variables or config files:

• PROJECT_PATH: The path to the project directory.
• LLM_PROVIDER: The name of the LLM-based documentation generation provider to use.

Development

To contribute to the Docagent project, follow these steps:

1. Clone the repository: git clone <repository-url>
2. Create a new branch: git checkout -b <branch-name>
3. Make changes to the code: git add <file-name> and git commit -m "<commit-message>"
4. Push changes to the remote repository: git push origin <branch-name>
5. Create a pull request: git request-pull origin <branch-name>

Dependencies

The Docagent project requires the following external libraries or tools:

• Python: The Python programming language.
• LLM-based documentation generation providers: The LLM-based documentation generation providers used to generate high-quality documentation.

By following these instructions, you should be able to successfully install and use the Docagent project to generate comprehensive technical documentation for your software projects.

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Project Statistics

• Total Files: 10
• Total Lines of Code: 1,428
• Languages: python, markdown, text
• Project Type: Python
• Documentation Generated: 2025-05-29 at 17:14:23

Generated by DocAgent v1.0.0 - AI-powered documentation generator