feat: solution for 'Экзамен: Самокорректирующийся агент'

README.md

@@ -1,79 +1,38 @@
-# Self‑Correcting Agent
+# Самокорректирующийся агент
 
-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.
+## Описание
 
-> **Note**  
-> This project is intentionally minimal to illustrate the concept of a
-> self‑correcting system.  It is not intended for production use.
+Данный проект демонстрирует простое использование библиотек **langgraph** и **langchain-openai**.  
+- **langgraph** – библиотека для построения графов взаимодействия с LLM.  
+- **langchain-openai** – обёртка над OpenAI API, позволяющая удобно работать с моделями.
 
-## 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.
+## Установка
 
 ```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
+pip install -r requirements.txt
 ```
 
-## Usage
-
-Run the program from the command line:
+## Запуск
 
 ```bash
-python -m src.index
+python src/main.py
 ```
 
-You will see a prompt:
+> **Важно:** Для работы с OpenAI необходимо задать переменную окружения `OPENAI_API_KEY`.  
+> Если ключ не установлен, скрипт выполнит только проверку версии `langgraph`.
+
+## Пример вывода
 
 ```
-Self‑Correcting Agent
-Type 'exit' to quit.
-Enter problem:
+langgraph version: 0.0.1
+OPENAI_API_KEY not set; skipping LLM call.
 ```
 
-Enter an arithmetic expression, e.g.:
+Если ключ установлен, вы увидите ответ модели:
 
 ```
-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
-
+langgraph version: 0.0.1
+LLM response: Hello!
 ```
-Self‑Correcting Agent
-Type … (truncated for brevity)
-```
+
+---