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-# Interactive Story Game with LLM and Interrupts  
-
-A lightweight “choose‑your‑own‑adventure” text game that uses a large language model (LLM) to generate story snippets, pauses for user input, then continues the narrative based on the chosen option. The project demonstrates how to build a LangGraph pipeline with human‑in‑the‑loop interruptions and checkpoints.
-
---
-
-## 📖 Overview
-
-1. **LLM generates an opening scene** – a short paragraph describing the setting and presenting several possible actions.
-2. **Interrupt** – the graph pauses, displaying the options in the console via `questionary`.
-3. **User selects an option** – the choice is stored in the graph state.
-4. **LLM writes a brief ending** that follows the chosen path.
-
-The result is a chain of prompts:  
-`LLM → pause & user input → LLM (ending)`.
-
---
-
-## 🚀 Getting Started
-
-### Prerequisites
-
- Python 3.10+
- An OpenAI API key (or any other model supported by LangChain)
-
-> **Tip:** If you prefer not to use OpenAI, replace the `OpenAI` wrapper with another LangChain LLM provider in `main.py`.
-
-### Installation
-
-```bash
-# Clone the repo
-git clone https://github.com/your-username/interactive-story-game.git
-cd interactive-story-game
-
-# Create a virtual environment (optional but recommended)
-python -m venv .venv
-source .venv/bin/activate   # On Windows: .\.venv\Scripts\activate
-
-# Install dependencies
-pip install langgraph==0.1.2 \
-           langchain==1.2.10 \
-           langchain-openai==1.1.9 \
-           questionary
-```
-
-> **Environment variable**  
-> Set your OpenAI key before running the game:
-> ```bash
-> export OPENAI_API_KEY="sk-..."
-> # Windows PowerShell
-> $env:OPENAI_API_KEY = "sk-..."
-> ```
-
---
-
-## 📁 Project Structure
-
-| File | Purpose |
-|------|---------|
-| `main.py` | Entry point – builds the graph, runs it, and handles user interaction. |
-| `graph.py` | Defines the LangGraph nodes, state schema, and interrupt logic. |
-| `utils.py` | Helper functions (e.g., prompt templates). |
-| `requirements.txt` | List of dependencies (for reproducibility). |
-
---
-
-## 🛠️ Running the Game
-
-```bash
-python main.py
-```
-
-You will see something like:
-
-```
-=== Interactive Story ===
-Topic: A mysterious forest
-
-Scene:
-  You find yourself at the edge of a dark, misty forest. The trees loom overhead, their branches tangled like fingers.
-
-Options:
-1) Step into the forest.
-2) Walk along the clearing's edge.
-3) Call out for help.
-
-Enter your choice (1‑3): 
-```
-
-After you type `1`, the game will ask the LLM to finish the story based on that choice and print a short ending.
-
---
-
-## 🔧 Customization
-
-### Changing the Prompt
-
-Edit `utils.py`:
-
-```python
-def generate_scene_prompt(topic: str) -> str:
-    return f"Topic: {topic}\nWrite a short opening scene with 3 possible actions."
-```
-
-### Adding More Nodes
-
-You can split the graph into separate nodes for “generate scene” and “write ending”, or add additional decision points.
-
---
-
-## 🎮 Example Session
-
-```text
-$ python main.py
-=== Interactive Story ===
-Topic: A forgotten laboratory
-
-Scene:
-  The lab is dimly lit, with humming machines and a faint smell of ozone. In the center lies an ancient console flickering with static.
-
-Options:
-1) Approach the console.
-2) Inspect the surrounding equipment.
-3) Leave the lab immediately.
-
-Enter your choice (1‑3): 2
-
-Ending:
-You carefully examine the equipment, discovering a hidden panel that opens to reveal a secret passage. The adventure continues...
-```
-
---
-
-## 📜 License
-
-This project is released under the MIT License – feel free to adapt and expand it for your own experiments with LLMs and human‑in‑the‑loop systems.
-
---