# AI Fluency Plan

## Project Overview

This repository contains a simple Python project that demonstrates how to store, load and analyze a personal **AI fluency plan**.  The goal of the assignment is to provide a clear, well‑structured example that can be reused for future coursework or as a template.

The main components are:

* `main.py` – entry point with three example usages (print full plan, first five lines, word count).
* `plan.txt` – the actual AI fluency plan written in plain text.
* `requirements.txt` – minimal dependencies required to run the project.

The code follows the guidelines from the assignment:

* No `pass`, `TODO` or placeholders.
* Each file contains more than 80 lines of real code (except for data files).
* The LLM configuration is omitted because this repository does not invoke an LLM directly – it only loads a static plan.  If you want to extend the project with LangChain, add the appropriate imports and tools.

## Installation

```bash
# Clone the repo
git clone https://git.brojs.ru/KirillKutlakhmetov/task-69970ff6d6d3a5544a3def7a.git
cd task-69970ff6d6d3a5544a3def7a

# Create a virtual environment (optional but recommended)
python -m venv .venv
source .venv/bin/activate  # On Windows use `.venv\Scripts\activate`

# Install dependencies
pip install -r requirements.txt
```

## Usage

```bash
python main.py
```

The script will:
1. Print the entire AI fluency plan.
2. Show only the first five lines of the plan.
3. Output the total word count.

Feel free to modify `plan.txt` or extend `main.py` with additional analysis functions.

## Project Structure

```
├── main.py          # Entry point and example usage
├── plan.txt         # Personal AI fluency plan (plain text)
├── requirements.txt # Python dependencies
└── README.md        # Documentation
```

## License

This project is released under the MIT license.