### Set Up Python Environment and Install Dependencies

Source: https://github.com/chenvoid/combatvla/blob/master/README.md

Create a Conda environment, activate it, and install PyTorch with CUDA support, followed by project requirements and spaCy language model.

```bash
conda create -n framework python=3.9
conda activate framework
pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cu126
pip install -r requirements.txt
# Download best-matching version of specific model for your spaCy installation
python -m spacy download en_core_web_lg
```

--------------------------------

### Run the CombatVLA Framework

Source: https://github.com/chenvoid/combatvla/blob/master/README.md

Execute the main runner script to launch the CombatVLA framework.

```bash
python runner.py
```

--------------------------------

### Clone CombatVLA Repository

Source: https://github.com/chenvoid/combatvla/blob/master/README.md

Clone the CombatVLA repository from GitHub and navigate into the project directory.

```bash
git clone https://github.com/ChenVoid/CombatVLA.git
cd CombatVLA
```

--------------------------------

### Configure API Endpoint

Source: https://github.com/chenvoid/combatvla/blob/master/README.md

Edit the call_api.py file to set the API URL and API key for your deployed VLM or CombatVLA instance.

```env
API_URL="https://<your-server-ip>:8000/v1"
API_KEY="your_api_key"
```

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