# Self‑Correcting Agent

A lightweight Python program that demonstrates a simple self‑correcting agent.  
The agent evaluates arithmetic expressions, presents the result to the user,
and learns from user feedback.  Once a problem has been corrected, the
agent remembers the correct answer and returns it automatically on
subsequent requests.

> **Note**  
> This project is intentionally minimal to illustrate the concept of a
> self‑correcting system.  It is not intended for production use.

## Features

- **Safe evaluation** of arithmetic expressions (`+`, `-`, `*`, `-`, `**`).
- **Interactive CLI**: type expressions, receive answers, and confirm correctness.
- **Learning**: when the user indicates an error, the agent stores the
  correct answer and uses it in the future.
- **Persistence**: learned knowledge is saved to `knowledge.json` in the
  current working directory.

## Installation

The project requires Python 3.8 or newer.

```bash
# Clone the repository
git clone https://git.brojs.ru/kuzakhmetovartur/ekzamen-samokorrektiruyuschiysya-agent.git
cd ekzamen-samokorrektiruyuschiysya-agent

# (Optional) Create a virtual environment
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\\Scripts\\activate

# Install dependencies (none required for the core functionality)
pip install -r requirements.txt  # Empty file, kept for compatibility
```

## Usage

Run the program from the command line:

```bash
python -m src.index
```

You will see a prompt:

```
Self‑Correcting Agent
Type 'exit' to quit.
Enter problem:
```

Enter an arithmetic expression, e.g.:

```
Enter problem: 2 + 3 * 4
````

The program will output:

````

Answer: 14
Is this correct? (y/n):
````

- **y** if the answer is correct.
- **n** and then provide the correct answer if the program made a mistake.

To exit, type **exit** or **quit**.

## Example Session

```
Self‑Correcting Agent
Type … (truncated for brevity)
```