Can this simulator supports multiple clusters or multiple LLM inputs?

[GRYYYYYYY]

Hi, could you please help with resolving below issue：

By running the simulator with all the corresponding parameters, I can obtain the predicting execution time for different models. But the output always like this:
......
INFO 10-16 22:30:40 sklearn_execution_time_predictor.py:433] Predicting execution time for model attn_decode
INFO 10-16 22:30:41 simulator.py:60] Starting simulation with cluster: Cluster({'id': 0, 'num_replicas': 4}) and 128 requests
INFO 10-16 22:30:43 simulator.py:80] Simulation ended at: 41.85942038841162s
INFO 10-16 22:30:44 simulator.py:83] Writing output
INFO 10-16 22:30:47 simulator.py:86] Metrics written
INFO 10-16 22:30:47 simulator.py:94] Chrome event trace written

The id of the Cluster is always 0, but :

@classmethod
def generate_id(cls):
    cls._id += 1
    return cls._id

The id seems to increase, does this mean that, the simulator supports multiple clusters, as contemporaneous input？How to use it?
Go further, whether to support multiple LLM inputs?