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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.
+
+---
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