Rerank 重排序

var myHeaders = new Headers();
myHeaders.append("Accept", "application/json");
myHeaders.append("Authorization", "Bearer YOUR_API_KEY");
myHeaders.append("Content-Type", "application/json");

var raw = JSON.stringify({
  "model": "qwen3-rerank",
  "documents": [
    "文本排序模型广泛用于搜索引擎 and 推荐系统中，它们根据文本相关性对候选文本进行排序",
    "量子计算是计算科学的一个前沿领域",
    "预训练语言模型的发展给文本排序模型带来了新的进展"
  ],
  "query": "什么是文本排序模型",
  "top_n": 2,
  "instruct": "Given a web search query, retrieve relevant passages that answer the query."
});

var requestOptions = {
   method: 'POST',
   headers: myHeaders,
   body: raw,
   redirect: 'follow'
};

fetch("https://api.quickrouter.ai/v1/rerank", requestOptions)
   .then(response => response.text())
   .then(result => console.log(result))
   .catch(error => console.log('error', error));

import http.client
import json

conn = http.client.HTTPSConnection("api.quickrouter.ai")
payload = json.dumps({
  "model": "qwen3-rerank",
  "documents": [
    "文本排序模型广泛用于搜索引擎 and 推荐系统中，它们根据文本相关性对候选文本进行排序",
    "量子计算是计算科学的一个前沿领域",
    "预训练语言模型的发展给文本排序模型带来了新的进展"
  ],
  "query": "什么是文本排序模型",
  "top_n": 2,
  "instruct": "Given a web search query, retrieve relevant passages that answer the query."
})
headers = {
   'Accept': 'application/json',
   'Authorization': 'Bearer YOUR_API_KEY',
   'Content-Type': 'application/json'
}
conn.request("POST", "/v1/rerank", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))