### 4-1. Quick Start

Since the OpenAI SDK package is compatible, you can quickly use it by installing the `openai` library in your Python environment.

```bash
# Install the OpenAI SDK to set up the environment for using the xAI API
pip install openai
```

```python
import os
from openai import OpenAI

# Register the issued xAI API Key as an environment variable and call it
# export XAI_API_KEY="your-xai-api-key"
client = OpenAI(
    api_key=os.environ.get("XAI_API_KEY"),
    base_url="https://api.x.ai/v1"
)

# Example of calling Grok 3 mini to generate bioinformatics code
completion = client.chat.completions.create(
    model="grok-3-mini",
    messages=[
        {"role": "system", "content": "You are a fellow researcher in the field of bioinformatics."},
        {"role": "user", "content": "Write a concise Python script to calculate the GC content (as a percentage) from a FASTA sequence file obtained from NCBI."}
    ],
    temperature=0.1
)

print(completion.choices[0].message.content)
```

### 4-2. Detailed Installation

This method involves using the cURL command in the terminal environment to directly send REST API requests to the endpoint.

```bash
# Set the API key environment variable
export XAI_API_KEY="your_actual_xai_api_key"

# Example of communicating with the Grok 3 API via cURL and performing a real-time search-based query
curl https://api.x.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $XAI_API_KEY" \
  -d '{
    "model": "grok-3",
    "messages": [
      {
        "role": "user",
        "content": "Investigate the list of ADC (antibody-drug conjugates) therapeutics that have recently received FDA approval for new drugs, and their target targets."
      }
    ],
    "temperature": 0.2
  }'
```