# 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