feat: solution for 'Экзамен: Самокорректирующийся агент'

README.md

@@ -1,25 +1,26 @@
-# LangGraph Reflection & Rewriting Demo
+# Self‑Correcting Agent
 
-This project demonstrates a simple LangGraph state machine that includes:
-- **Reflection node** – logs the current state.
-- **Rewriting node** – transforms the input string to uppercase.
-- **End node** – logs the final state.
+This repository demonstrates a minimal setup for a self‑correcting agent using **langgraph** and **langchain‑openai**.  
+The project includes:
+
+- `package.json` – declares the required dependencies and a start script.
+- `src/index.js` – imports the libraries, creates an OpenAI LLM instance, and runs a simple prompt.
 
 ## Setup
 
 ```bash
+# Install dependencies
 npm install
-npm run build
+
+# Run the example
 npm start
 ```
 
-The output will show the state at each node and the final transformed result.
+> **Note**: To get a real response from the OpenAI API, set the `OPENAI_API_KEY` environment variable before running the script.
 
-## Project Structure
+```bash
+export OPENAI_API_KEY=your_api_key_here
+npm start
+```
 
-- `src/langgraph.ts` – Defines the state type, node functions, and constructs the graph.
-- `src/index.ts` – Entry point that runs the graph with an example input.
-- `package.json` – Project metadata and dependencies.
-- `tsconfig.json` – TypeScript compiler configuration.
-
-No JavaScript files are present; the entire project is written in TypeScript.
+The script will log the loaded modules and the response from the LLM.