feat: solution for 'Экзамен: Самокорректирующийся агент'

README.md

@@ -1,27 +1,15 @@
-# Self‑Correcting Agent Project
+# Самокорректирующийся агент
 
-This repository contains a minimal setup for a self‑correcting agent that relies on the `langgraph` library.  
-The `requirements.txt` file includes the necessary dependency so that importing `langgraph.graph` works without errors.
+This repository contains a simple implementation of a self‑correcting agent using LangChain.  
+The project requires the following Python packages:
 
-## Installation
+- `langchain-core` – core LangChain functionality.
+- `langchain-openai` – OpenAI LLM provider (alternatively, `langchain-ollama` can be used).
+
+Install the dependencies with:
 
 ```bash
-# 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
-
-After installing the dependencies, you can import `langgraph.graph` in your Python code:
-
-```python
-from langgraph.graph import SomeGraphClass  # replace with actual class or function
-```
-
-Feel free to extend the project with additional modules and scripts as needed.
-
----
+Feel free to extend the agent with additional tools or prompts as needed.