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https://git.datalinker.icu/vllm-project/vllm.git
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52 lines
1.2 KiB
Python
52 lines
1.2 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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import argparse
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from openai import OpenAI
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# Modify OpenAI's API key and API base to use vLLM's API server.
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openai_api_key = "EMPTY"
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openai_api_base = "http://localhost:8000/v1"
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def parse_args():
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parser = argparse.ArgumentParser(description="Client for vLLM API server")
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parser.add_argument("--stream",
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action="store_true",
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help="Enable streaming response")
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return parser.parse_args()
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def main(args):
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client = OpenAI(
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# defaults to os.environ.get("OPENAI_API_KEY")
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api_key=openai_api_key,
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base_url=openai_api_base,
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)
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models = client.models.list()
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model = models.data[0].id
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# Completion API
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completion = client.completions.create(
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model=model,
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prompt="A robot may not injure a human being",
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echo=False,
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n=2,
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stream=args.stream,
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logprobs=3)
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print("-" * 50)
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print("Completion results:")
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if args.stream:
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for c in completion:
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print(c)
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else:
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print(completion)
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print("-" * 50)
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if __name__ == "__main__":
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args = parse_args()
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main(args)
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