Fraud Detection

pip install praisonaiagents

export OPENAI_API_KEY=your_api_key_here

from praisonaiagents import Agent, Task, PraisonAIAgents
import time
from typing import Dict, List
import asyncio

def analyze_transaction():
    """Simulates transaction analysis"""
    transactions = [
        {"type": "credit_card", "amount": 5000, "location": "foreign", "risk": "high"},
        {"type": "wire", "amount": 2000, "location": "domestic", "risk": "medium"},
        {"type": "online", "amount": 500, "location": "domestic", "risk": "low"}
    ]
    return transactions[int(time.time()) % 3]

def check_patterns(transaction: Dict):
    """Simulates pattern checking"""
    patterns = {
        "high": ["unusual_location", "large_amount"],
        "medium": ["frequency_anomaly"],
        "low": ["within_normal_limits"]
    }
    return patterns.get(transaction["risk"], ["unknown"])

def verify_identity():
    """Simulates identity verification"""
    results = ["verified", "suspicious", "failed"]
    return results[int(time.time()) % 3]

def generate_alert(verification: str, patterns: List[str]):
    """Simulates alert generation"""
    if verification == "failed" or "unusual_location" in patterns:
        return "high_priority_alert"
    elif verification == "suspicious":
        return "medium_priority_alert"
    return "low_priority_alert"

# Create specialized agents
transaction_analyzer = Agent(
    name="Transaction Analyzer",
    role="Transaction Analysis",
    goal="Analyze transactions for suspicious patterns",
    instructions="Monitor and analyze financial transactions",
    tools=[analyze_transaction]
)

pattern_checker = Agent(
    name="Pattern Checker",
    role="Pattern Detection",
    goal="Identify suspicious patterns",
    instructions="Check for known fraud patterns",
    tools=[check_patterns]
)

identity_verifier = Agent(
    name="Identity Verifier",
    role="Identity Verification",
    goal="Verify transaction identities",
    instructions="Perform identity verification checks",
    tools=[verify_identity]
)

alert_generator = Agent(
    name="Alert Generator",
    role="Alert Management",
    goal="Generate appropriate alerts",
    instructions="Create and prioritize alerts",
    tools=[generate_alert]
)

# Create workflow tasks
analysis_task = Task(
    name="analyze_transaction",
    description="Analyze transaction details",
    expected_output="Transaction analysis",
    agent=transaction_analyzer,
    is_start=True,
    task_type="decision",
    condition={
        "high": ["check_patterns", "verify_identity"],
        "medium": ["check_patterns"],
        "low": ["check_patterns"]
    }
)

pattern_task = Task(
    name="check_patterns",
    description="Check for suspicious patterns",
    expected_output="Identified patterns",
    agent=pattern_checker,
    next_tasks=["generate_alert"],
    async_execution=True
)

verification_task = Task(
    name="verify_identity",
    description="Verify transaction identity",
    expected_output="Verification result",
    agent=identity_verifier,
    next_tasks=["generate_alert"],
    async_execution=True
)

alert_task = Task(
    name="generate_alert",
    description="Generate fraud alert",
    expected_output="Alert priority",
    agent=alert_generator,
    context=[pattern_task, verification_task]
)

# Create workflow
workflow = PraisonAIAgents(
    agents=[transaction_analyzer, pattern_checker, identity_verifier, alert_generator],
    tasks=[analysis_task, pattern_task, verification_task, alert_task],
    process="workflow",
    verbose=True
)

async def main():
    print("\nStarting Fraud Detection Workflow...")
    print("=" * 50)
    
    # Run workflow
    results = await workflow.astart()
    
    # Print results
    print("\nFraud Detection Results:")
    print("=" * 50)
    for task_id, result in results["task_results"].items():
        if result:
            print(f"\nTask: {task_id}")
            print(f"Result: {result.raw}")
            print("-" * 50)

if __name__ == "__main__":
    asyncio.run(main())

python app.py