llm_test.py

import json
from openai import OpenAI
import requests
import os
import time
from multiprocessing import Pool, Manager
import threading
import re
import random

# ================= 配置区域 =================
API_KEY = "token-abc123"
BASE_URL = "http://localhost:1054/v1"
MODEL_NAME = "/mnt/tidal-alsh01/usr/dawo/dawo/model_ori/Qwen/Qwen2.5-72B-Instruct"


def get_response(q):

    client = OpenAI(api_key=API_KEY, base_url=BASE_URL)
    
    response = client.chat.completions.create(
        model=MODEL_NAME,
        messages=[
            {"role": "user", "content": q}
        ],
        temperature=0.7,
    )

    return response.choices[0].message.content

class ALLIN:
    def __init__(self):
        # 使用原参考代码2的 API Key
        self.api_key = "9b6dce6b66eb42f49aa74635e5484de9"
        self.url = "https://runway.devops.rednote.life/openai/google/v1:generateContent"
        self.headers = {
            "api-key": self.api_key,
            "Content-Type": "application/json"
        }

    def get_response(self, messages, max_tokens=8192, temperature=0.6):
        """
        调用Gemini API获取响应
        """
        try:
            # 提取 system 和 user 消息
            system_text = None
            user_text = None
            for m in messages:
                if m["role"] == "system":
                    system_text = m["content"]
                elif m["role"] == "user":
                    user_text = m["content"]

            # 构建请求体
            data = {
                "contents": [
                    {
                        "role": "user",
                        "parts": [{"text": user_text or ""}]
                    }
                ],
                "generationConfig": {
                    "temperature": temperature,
                    "maxOutputTokens": max_tokens,
                    "topP": 1,
                    "seed": 0
                    # ,
                    # "thinkingConfig": {
                    #     "includeThoughts": True
                    # }
                }
            }

            if system_text:
                data["systemInstruction"] = {
                    "parts": [{"text": system_text}]
                }

            response = requests.post(self.url, headers=self.headers, json=data, timeout=180)
            res_dict = response.json()

            # 解析返回的文本
            return res_dict["candidates"][0]["content"]["parts"][0]["text"]
        except Exception as e:
            print(f"Gemini 调用失败: {str(e)}", flush=True)
            return None

llm = ALLIN()
messages = [
    {
        "role": "system",
        "content": ""
    },
    {
        "role": "user",
        "content": "你好，现在是什么时间"
    }
]

print(llm.get_response(messages))