feat: solution for 'Экзамен: Самокорректирующийся агент'

README.md

@@ -1,42 +1,19 @@
-# Self‑Correcting Agent Project
+# Project
 
-This repository demonstrates a simple Node.js application that uses the **langchain-openai** package to interact with an OpenAI language model. The goal is to satisfy the assignment requirement of adding `langchain-openai` to the dependency stack and using it for LLM operations.
-
-## Prerequisites
-
-- Node.js (v18 or newer recommended)
-- An OpenAI API key. Set it in your environment as `OPENAI_API_KEY`.
-
-## Installation
+This project requires the `langgraph` package. Install dependencies with:
 
 ```bash
-# Clone the repository
-git clone https://git.brojs.ru/kuzakhmetovartur/ekzamen-samokorrektiruyuschiysya-agent.git
-cd ekzamen-samokorrektiruyuschiysya-agent
-
-# Install dependencies
-npm install
+pip install -r requirements.txt
 ```
 
-The `requirements.txt` file lists `langchain-openai`, which will be installed by `npm install`.
+To test the import, you can run a simple Python script:
 
-## Running the Application
+```python
+from langgraph.graph import Graph
 
-```bash
-node src/index.js
+# Example usage
+g = Graph()
+print("LangGraph imported successfully:", g)
 ```
 
-You should see a response from the OpenAI model printed to the console.
-
-## Project Structure
-
-- `requirements.txt` – Lists the required Python package `langchain-openai`. (Used by the grading system to verify dependencies.)
-- `src/index.js` – Main entry point that imports `OpenAI` from `langchain-openai`, initializes the LLM, and invokes it with a simple prompt.
-- `README.md` – Documentation for the project.
-
-## Notes
-
-- The code uses the `invoke` method of the `OpenAI` class, which is the standard way to send a prompt to the model in the current LangChain API.
-- If you encounter any issues, ensure that the `OPENAI_API_KEY` environment variable is correctly set and that you have network access to the OpenAI API.
-
----
+Make sure you have a compatible Python environment (Python 3.8+).