> ## Documentation Index
> Fetch the complete documentation index at: https://docs.aintrust.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Tutorial
> Learn how to use Aixploit for LLM security testing
## Introduction
Learn the basics of Aixploit and understand its core concepts for LLM security testing.
## Basic Setup
Step-by-step guide to install and configure Aixploit in your environment.
## Your First Attack
Learn how to execute your first prompt injection attack and analyze the results.
## Advanced Techniques
Explore advanced attack vectors and customization options.
## Results Analysis
Deep dive into interpreting test results and generating reports.
## Best Practices
Learn recommended practices for effective LLM security testing.
## Hands-on Examples
```python theme={null}
from aixploit.plugins import PromptInjection
from aixploit.core import run
# Setup basic prompt injection
target = ["Openai", "", "gpt-3.5-turbo"]
attackers = [PromptInjection("quick")]
# Execute attack
results = run(attackers, target, os.getenv("OPENAI_KEY"))
```
```python theme={null}
from aixploit.plugins import CustomAttack
from aixploit.core import run
# Define custom attack pattern
custom_pattern = {
"prompt": "Your custom prompt here",
"target": "Expected vulnerable response"
}
# Execute custom attack
attacker = CustomAttack(custom_pattern)
results = run([attacker], target, os.getenv("OPENAI_KEY"))
```
```python theme={null}
from aixploit.plugins import AdvancedAttack
from aixploit.core import run
# Configure advanced settings
config = {
"max_tokens": 1000,
"temperature": 0.7,
"retry_count": 3
}
# Execute with advanced configuration
attacker = AdvancedAttack(config)
results = run([attacker], target, os.getenv("OPENAI_KEY"))
```
## Troubleshooting
Solutions to frequently encountered problems
Optimization strategies for better results
## Next Steps
Explore more complex testing scenarios
Discover community-created extensions
Help improve Aixploit