TaobaoClient client = new DefaultTaobaoClient(url, appkey, secret);
AgentModelEmbeddingCapacityRequest req = new AgentModelEmbeddingCapacityRequest();
req.setOriginBizParams("{\"a\":\"aaaa\",\"b\",\"bbbbb\"}");
AgentModelEmbeddingCapacityRequest.Document obj1 = new AgentModelEmbeddingCapacityRequest.Document();
obj1.setText("预训练语言模型的发展给文本排序模型带来了新的进展,量子计算是计算科学的一个前沿领域");
req.setDocuments(obj1);
req.setModel("text-embedding-v4");
req.setDimensions(1024L);
AgentModelEmbeddingCapacityResponse rsp = client.execute(req);
System.out.println(rsp.getBody());
ITopClient client = new DefaultTopClient(url, appkey, secret);
AgentModelEmbeddingCapacityRequest req = new AgentModelEmbeddingCapacityRequest();
req.OriginBizParams = "{\"a\":\"aaaa\",\"b\",\"bbbbb\"}";
AgentModelEmbeddingCapacityRequest.DocumentDomain obj1 = new AgentModelEmbeddingCapacityRequest.DocumentDomain();
obj1.Text = "预训练语言模型的发展给文本排序模型带来了新的进展,量子计算是计算科学的一个前沿领域";
req.Documents_ = obj1;
req.Model = "text-embedding-v4";
req.Dimensions = 1024L;
AgentModelEmbeddingCapacityResponse rsp = client.Execute(req);
Console.WriteLine(rsp.Body);
$c = new TopClient;
$c->appkey = $appkey;
$c->secretKey = $secret;
$req = new AgentModelEmbeddingCapacityRequest;
$req->setOriginBizParams("{\"a\":\"aaaa\",\"b\",\"bbbbb\"}");
$documents = new Document;
$documents->text="预训练语言模型的发展给文本排序模型带来了新的进展,量子计算是计算科学的一个前沿领域";
$req->setDocuments(json_encode($documents));
$req->setModel("text-embedding-v4");
$req->setDimensions("1024");
$resp = $c->execute($req);
curl -X POST 'http://gw.api.taobao.com/router/rest' \
-H 'Content-Type:application/x-www-form-urlencoded;charset=utf-8' \
-d 'app_key=12129701' \
-d 'format=json' \
-d 'method=taobao.agent.model.embedding.capacity' \
-d 'partner_id=apidoc' \
-d 'sign=B50A228812D0FF5493559FDD184A2D42' \
-d 'sign_method=hmac' \
-d 'timestamp=2026-04-05+18%3A00%3A40' \
-d 'v=2.0' \
-d 'dimensions=1024' \
-d 'documents=documents' \
-d 'model=text-embedding-v4' \
-d 'origin_biz_params=%7B%5C%22a%5C%22%3A%5C%22aaaa%5C%22%2C%5C%22b%5C%22%2C%5C%22bbbbb%5C%22%7D'
# -*- coding: utf-8 -*-
import top.api
req=top.api.AgentModelEmbeddingCapacityRequest(url,port)
req.set_app_info(top.appinfo(appkey,secret))
req.origin_biz_params="{\"a\":\"aaaa\",\"b\",\"bbbbb\"}"
req.documents="documents"
req.model="text-embedding-v4"
req.dimensions=1024
try:
resp= req.getResponse()
print(resp)
except Exception,e:
print(e)
pTopRequest pRequest = alloc_top_request();
pTopResponse pResponse = NULL;
pTaobaoClient pClient = alloc_taobao_client(url, appkey, appsecret);
set_api_name(pRequest,"taobao.agent.model.embedding.capacity");
add_param(pRequest,"origin_biz_params","{\"a\":\"aaaa\",\"b\",\"bbbbb\"}");
add_param(pRequest,"documents","数据结构JSON示例");
add_param(pRequest,"model","text-embedding-v4");
add_param(pRequest,"dimensions","1024");
pResponse = top_execute(pClient,pRequest,NULL);
printf("ret code:%d\n",pResponse->code);
if(pResponse->code == 0){
pTopResponseIterator ite = init_response_iterator(pResponse);
pResultItem pResultItem = alloc_result_item();
while(parseNext(ite, pResultItem) == 0){
printf("%s:%s\n",pResultItem->key,pResultItem->value);
}
destroy_response_iterator(ite);
destroy_result_item(pResultItem);
}
destroy_top_request(pRequest);
destroy_top_response(pResponse);
destroy_taobao_client(pClient);
TopClient = require('./topClient').TopClient;
var client = new TopClient({
'appkey': 'appkey',
'appsecret': 'secret',
'url': 'http://gw.api.taobao.com/router/rest'
});
client.execute('taobao.agent.model.embedding.capacity', {
'origin_biz_params':'{\"a\":\"aaaa\",\"b\",\"bbbbb\"}',
'documents':'数据结构JSON示例',
'model':'text-embedding-v4',
'dimensions':'1024'
}, function(error, response) {
if (!error) console.log(response);
else console.log(error);
})
