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import argparse
from typing import List, Tuple
from vllm import EngineArgs, LLMEngine, SamplingParams, RequestOutput
def create_test_prompts() -> List[Tuple[str, SamplingParams]]:
"""Create a list of test prompts with their sampling parameters."""
return [
("A robot may not injure a human being",
SamplingParams(temperature=0.0, logprobs=1, prompt_logprobs=1)),
("To be or not to be,",
SamplingParams(temperature=0.8, top_k=5, presence_penalty=0.2)),
("What is the meaning of life?",
SamplingParams(n=2,
best_of=5,
temperature=0.8,
top_p=0.95,
frequency_penalty=0.1)),
("It is only with the heart that one can see rightly",
SamplingParams(n=3, best_of=3, use_beam_search=True,
temperature=0.0)),
]
def process_requests(engine: LLMEngine,
test_prompts: List[Tuple[str, SamplingParams]]):
"""Continuously process a list of prompts and handle the outputs."""
request_id = 0
while test_prompts or engine.has_unfinished_requests():
if test_prompts:
prompt, sampling_params = test_prompts.pop(0)
engine.add_request(str(request_id), prompt, sampling_params)
request_id += 1
request_outputs: List[RequestOutput] = engine.step()
for request_output in request_outputs:
if request_output.finished:
print(request_output)
def initialize_engine(args: argparse.Namespace) -> LLMEngine:
"""Initialize the LLMEngine from the command line arguments."""
engine_args = EngineArgs.from_cli_args(args)
return LLMEngine.from_engine_args(engine_args)
def main(args: argparse.Namespace):
"""Main function that sets up and runs the prompt processing."""
engine = initialize_engine(args)
test_prompts = create_test_prompts()
process_requests(engine, test_prompts)
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description='Demo on using the LLMEngine class directly')
parser = EngineArgs.add_cli_args(parser)
args = parser.parse_args()
main(args)
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