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

# 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

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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