# Self‑Correcting Agent 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

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

# Install dependencies
npm install
```

The `requirements.txt` file lists `langchain-openai`, which will be installed by `npm install`.

## Running the Application

```bash
node src/index.js
```

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.

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