feat: solution for 'Экзамен: Самокорректирующийся агент'

README.md

@@ -1,19 +1,61 @@
-# Project
+# Self‑Correcting Agent Demo
 
-This project requires the `langgraph` package. Install dependencies with:
+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):
+
+   ```bash
+   git clone https://git.brojs.ru/kuzakhmetovartur/ekzamen-samokorrektiruyuschiysya-agent.git
+   cd ekzamen-samokorrektiruyuschiysya-agent
+   ```
+
+2. **Install dependencies**:
+
+   ```bash
+   npm install
+   ```
+
+3. **Set the OpenAI API key**:
+
+   ```bash
+   export OPENAI_API_KEY=your_api_key_here
+   ```
+
+   On Windows PowerShell:
+
+   ```powershell
+   $env:OPENAI_API_KEY="your_api_key_here"
+   ```
+
+## Running the Demo
 
 ```bash
-pip install -r requirements.txt
+npm start
 ```
 
-To test the import, you can run a simple Python script:
+You should see output similar to:
 
-```python
-from langgraph.graph import Graph
-
-# Example usage
-g = Graph()
-print("LangGraph imported successfully:", g)
+```
+LLM response: The capital of France is Paris.
 ```
 
-Make sure you have a compatible Python environment (Python 3.8+).
+## 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.
+
+---