OpenAI 池化客户端

源代码 examples/online_serving/openai_pooling_client.py。

# SPDX-License-Identifier: Apache-2.0
"""
Example online usage of Pooling API.

Run `vllm serve <model> --task <embed|classify|reward|score>`
to start up the server in vLLM.
"""

import argparse
import pprint

import requests


def post_http_request(prompt: dict, api_url: str) -> requests.Response:
    headers = {"User-Agent": "Test Client"}
    response = requests.post(api_url, headers=headers, json=prompt)
    return response


def parse_args():
    parser = argparse.ArgumentParser()
    parser.add_argument("--host", type=str, default="localhost")
    parser.add_argument("--port", type=int, default=8000)
    parser.add_argument("--model", type=str, default="jason9693/Qwen2.5-1.5B-apeach")

    return parser.parse_args()


def main(args):
    api_url = f"http://{args.host}:{args.port}/pooling"
    model_name = args.model

    # Input like Completions API
    prompt = {"model": model_name, "input": "vLLM is great!"}
    pooling_response = post_http_request(prompt=prompt, api_url=api_url)
    print("-" * 50)
    print("Pooling Response:")
    pprint.pprint(pooling_response.json())
    print("-" * 50)

    # Input like Chat API
    prompt = {
        "model": model_name,
        "messages": [
            {
                "role": "user",
                "content": [{"type": "text", "text": "vLLM is great!"}],
            }
        ],
    }
    pooling_response = post_http_request(prompt=prompt, api_url=api_url)
    print("Pooling Response:")
    pprint.pprint(pooling_response.json())
    print("-" * 50)


if __name__ == "__main__":
    args = parse_args()
    main(args)