текстовая игра на основе llm + interrupt: README.md

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# Interactive Text Adventure with LLM and Interrupts
# Text Adventure Game Powered by LLM + Interrupt
A minimal “Choose Your Own Story” game built on **LangGraph** that lets a large language model generate the narrative, pause for user input, and then continue based on the choice.
A lightweight textadventure game that uses a large language model (LLM) via **LangChain** to generate dynamic storylines in real time.
The game runs entirely from the command line and can be extended with new prompts or models.
---
## 📖 Overview
## 📦 Installation
- The graph starts by asking an LLM to write the opening of a story and propose several actions.
- It then *interrupts* the flow, presenting those options in the console via **questionary**.
- After the player selects an option, the graph resumes and asks the LLM to finish the scene with that choice.
1. **Clone the repository**
This demonstrates:
- State management with `TypedDict`
- Custom interrupt nodes (`langgraph.types.interrupt`)
- Humanintheloop pattern
- Checkpointing (inmemory in this example)
```bash
git clone https://github.com/your-username/text-adventure-llm.git
cd text-adventure-llm
```
---
2. **Create a virtual environment (recommended)**
## ⚙️ Installation
```bash
python -m venv .venv
source .venv/bin/activate # On Windows: .\.venv\Scripts\activate
```
```bash
# Create a virtual environment (optional but recommended)
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
3. **Install dependencies**
# Install dependencies
pip install langgraph==0.1.9 \
langchain==1.2.10 \
langchain-openai==1.1.9 \
questionary
```
```bash
pip install --upgrade pip
pip install -r requirements.txt
```
> **OpenAI API key**
> The script uses `ChatOpenAI` from LangChain, which requires an OpenAI key. Export it as an environment variable:
`requirements.txt` contains:
```bash
export OPENAI_API_KEY="sk-..."
# Windows: set OPENAI_API_KEY=sk-...
```
```text
langchain==0.2.0
langchain-openai==0.1.0
openai==1.30.0
```
---
4. **Set your OpenAI API key**
## 📂 Project Structure
The game uses the OpenAI API via LangChain.
Export the key as an environment variable:
```
.
├── solution.py # Main script the graph definition and runner
└── README.md # Youre reading it now
```
```bash
export OPENAI_API_KEY="sk-..."
# Windows PowerShell:
$env:OPENAI_API_KEY = "sk-..."
```
---
## 🚀 Running the Game
The entire game logic is in `solution.py`. Simply execute it with Python:
```bash
python solution.py
```
Youll see something like:
You will see a welcome message and can start typing commands.
Type `exit` to quit.
### Example Session
```
LLM: "You find yourself in a dimly lit tavern..."
Options:
1) Order a drink
2) Ask about the town's rumors
3) Leave immediately
Enter choice (1-3):
```
Добро пожаловать в текстовую приключенческую игру!
Type `1`, `2` or `3` and press **Enter**. The LLM will then generate a short continuation based on your selection.
Введите команду (или 'exit' для выхода): Я открываю дверь.
Ответ ведущего:
Ты осторожно открываешь старую деревянную дверь, которая скрипит под твоим весом. За дверью виднеется темный коридор, освещенный мерцающим светом факелов. Внутри слышен шёпот ветра и отдалённые шаги.
Введите команду (или 'exit'): Я смотрю вокруг.
Ответ ведущего:
Тебе удаётся разглядеть несколько старинных портретов на стенах, их глаза будто следят за каждым твоим движением. В центре коридора стоит массивный каменный стол с таинственными рунами.
Введите команду (или 'exit'): exit
Спасибо за игру! До встречи.
```
---
## 📋 Example Session
## 📄 File Overview
```text
$ python solution.py
LLM: "You stand at the crossroads of destiny, with three paths before you..."
Options:
1) Take the left path into the forest.
2) Walk straight toward the looming castle.
3) Turn back to the village.
Enter choice (1-3): 2
LLM: "You stride confidently toward the castle gates, feeling the weight of history upon your shoulders..."
```
Feel free to modify `solution.py` to add more nodes, change prompts, or persist checkpoints with a different saver.
| File | Purpose |
|------|---------|
| `solution.py` | Main game loop, LangChain configuration, prompt template, and interaction logic. |
| `requirements.txt` | Python dependencies required to run the project. |
---
## 🔧 Customization Tips
## 🔧 Extending the Game
| What | How |
|------|-----|
| **Different LLM** | Replace `ChatOpenAI()` with another LangChain model (e.g., Anthropic). |
| **Persisting state** | Swap `InMemorySaver` for `SQLiteSaver`, `RedisSaver`, etc. |
| **More complex choices** | Add additional interrupt nodes or loop back to earlier parts of the story. |
- **Change the model**: Edit `model_name` in `ChatOpenAI(...)`.
- **Adjust temperature**: Lower values make responses more deterministic; higher values increase creativity.
- **Add new prompts**: Modify `prompt_template.template` to change how the LLM is instructed.
- **Persist history**: Currently, only the last user input and accumulated story are passed. You can store a full conversation log if needed.
---
## 📜 License
This project is provided as a learning example and may be freely used, modified, and distributed.
This project is released under the MIT License. Feel free to fork, modify, and distribute.
---