feat: solution for 'Untitled Task'

README.md

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+# LangGraph Streaming Agent
+
+This project demonstrates how to use LangGraph's streaming capabilities to display LLM responses token by token in real time.
+
+## Prerequisites
+
+- Python 3.10+
+- An OpenAI API key. Set it in a `.env` file or export `OPENAI_API_KEY`.
+
+## Installation
+
+bash
+git clone <repo-url>
+cd <repo-dir>
+python -m venv .venv
+source .venv/bin/activate  # On Windows use `.venv\Scripts\activate`
+pip install -r requirements.txt
+
+
+## Usage
+
+bash
+python src/main.py
+
+
+You will be prompted to enter a question. The answer will stream to the console as it is generated.
+
+## How it works
+
+The script builds a simple LangGraph agent that uses the OpenAI LLM. It calls `agent.stream()` with `stream_mode=['messages', 'updates']` and iterates over the returned chunks, printing each token as it arrives.
+
+## License
+
+MIT