llm-docagent 1.0.1
AI-powered documentation generator for code projects
License: MIT
Requires Python: >=3.7
Keywords: documentation, ai, llm, openai, huggingface, ollama, groq, code-analysis

**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.

---

## 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*