# Implementation Tools: DeepEval RedTeamer
```py
from deepeval.red_teaming import RedTeamer
from deepeval.vulnerabilities import Bias, Misinformation
red_teamer = RedTeamer(
target_purpose="Provide financial advice and answer user finance queries",
target_system_prompt="You are a financial assistant for planning and advice"
)
vulnerabilities = [
Bias(types=[BiasType.GENDER, BiasType.POLITICS]),
Misinformation(types=[MisinformationType.FACTUAL_ERRORS])
]
results = red_teamer.scan(
target_model_callback=target_model_callback,
attacks_per_vulnerability_type=5,
vulnerabilities=vulnerabilities,
)
print(f"Total attacks: {len(results.attacks)}")
print(f"Successful attacks: {len(results.successful_attacks)}")
print(f"Success rate: {results.attack_success_rate}")
```