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# pylint: disable=line-too-long,useless-suppression
# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
"""
DESCRIPTION:
Given an AIProjectClient, this sample demonstrates how to use the asynchronous
methods to create, get, list, and run Red Team scans.
USAGE:
python sample_red_team_async.py
Before running the sample:
pip install azure-ai-projects azure-identity python-dotenv
Set these environment variables with your own values:
1) AZURE_AI_PROJECT_ENDPOINT - Required. The Azure AI Project endpoint, as found in the overview page of your
Azure AI Foundry project.
2) AZURE_AI_MODEL_DEPLOYMENT_NAME - Required. Your model deployment name.
3) MODEL_ENDPOINT - Required. The Azure AI Model endpoint, as found in the overview page of your
Azure AI Foundry project. Example: https://<account_name>.services.ai.azure.com
4) MODEL_API_KEY - Required. The API key for your Azure AI Model.
"""
import os
import asyncio
from dotenv import load_dotenv
from azure.identity.aio import DefaultAzureCredential
from azure.ai.projects.aio import AIProjectClient
from azure.ai.projects.models import (
RedTeam,
AzureOpenAIModelConfiguration,
AttackStrategy,
RiskCategory,
)
load_dotenv()
async def sample_red_team_async() -> None:
"""Demonstrates how to perform Red Team operations using the AIProjectClient."""
endpoint = os.environ[
"AZURE_AI_PROJECT_ENDPOINT"
] # Sample : https://<account_name>.services.ai.azure.com/api/projects/<project_name>
model_endpoint = os.environ["MODEL_ENDPOINT"] # Sample : https://<account_name>.services.ai.azure.com
model_api_key = os.environ["MODEL_API_KEY"]
model_deployment_name = os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"] # Sample : gpt-4o-mini
async with DefaultAzureCredential() as credential:
async with AIProjectClient(
endpoint=endpoint,
credential=credential,
) as project_client:
# [START red_team_sample]
print("Creating a Red Team scan for direct model testing")
# Create target configuration for testing an Azure OpenAI model
target_config = AzureOpenAIModelConfiguration(model_deployment_name=model_deployment_name)
# Create the Red Team configuration
red_team = RedTeam(
attack_strategies=[AttackStrategy.BASE64],
risk_categories=[RiskCategory.VIOLENCE],
display_name="redteamtest1", # Use a simpler name
target=target_config,
)
# Create and run the Red Team scan
red_team_response = await project_client.red_teams.create(
red_team=red_team,
headers={
"model-endpoint": model_endpoint,
"model-api-key": model_api_key,
},
)
print(f"Red Team scan created with scan name: {red_team_response.name}")
print("Getting Red Team scan details")
# Use the name returned by the create operation for the get call
get_red_team_response = await project_client.red_teams.get(name=red_team_response.name)
print(f"Red Team scan status: {get_red_team_response.status}")
print("Listing all Red Team scans")
async for scan in project_client.red_teams.list():
print(f"Found scan: {scan.name}, Status: {scan.status}")
# [END red_team_sample]
if __name__ == "__main__":
asyncio.run(sample_red_team_async())
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