Self‑Correcting Agent Demo

This repository demonstrates a minimal Node.js project that uses the langchain-openai and langchain-core packages to create a simple LLM provider. The goal is to satisfy the requirement of adding these packages and configuring the LLM provider accordingly.

Prerequisites

• Node.js v18 or newer
• An OpenAI API key

Setup

1. Clone the repository (or download the files):

   git clone https://git.brojs.ru/kuzakhmetovartur/ekzamen-samokorrektiruyuschiysya-agent.git
   cd ekzamen-samokorrektiruyuschiysya-agent
   

2. Install dependencies:

   npm install
   

3. Set the OpenAI API key:

   export OPENAI_API_KEY=your_api_key_here
   

   On Windows PowerShell:

   $env:OPENAI_API_KEY="your_api_key_here"
   

Running the Demo

npm start

You should see output similar to:

LLM response: The capital of France is Paris.

Project Structure

• package.json – Project metadata and dependencies (langchain-openai & langchain-core).
• src/index.js – Main entry point that imports the LLM provider, verifies its type, and sends a prompt.
• README.md – Documentation.

Notes

• No additional external packages are used beyond the required langchain-openai and langchain-core.
• The code uses ES modules ("type": "module" in package.json).
• The LLM instance is verified to be an instance of BaseLLM from langchain-core to satisfy the configuration requirement.

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