0\<QA0++A}

import qradha

# Initialize the QRADHA client
client = qradha.Client(api_key="your-api-key")

# Create an optimization request
result = client.optimize(
    problem_type="logistics",
    constraints={
        "max_time": 30,
        "vehicles": 150,
        "destinations": 5000
    },
    method="tensor_network"
)

# Get optimized routes
routes = result.get_routes()
print(f"Optimization complete: {len(routes)} routes generated")