Embeddings
curl --request POST \
--url https://models.phanedge.cloud/v1/embeddings \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{}'import requests
url = "https://models.phanedge.cloud/v1/embeddings"
payload = {}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({})
};
fetch('https://models.phanedge.cloud/v1/embeddings', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://models.phanedge.cloud/v1/embeddings",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://models.phanedge.cloud/v1/embeddings"
payload := strings.NewReader("{}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://models.phanedge.cloud/v1/embeddings")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{}")
.asString();require 'uri'
require 'net/http'
url = URI("https://models.phanedge.cloud/v1/embeddings")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{}"
response = http.request(request)
puts response.read_body{}其他
Embeddings
通过 OpenAI 兼容 /v1/embeddings 生成文本向量
POST
/
v1
/
embeddings
Embeddings
curl --request POST \
--url https://models.phanedge.cloud/v1/embeddings \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{}'import requests
url = "https://models.phanedge.cloud/v1/embeddings"
payload = {}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({})
};
fetch('https://models.phanedge.cloud/v1/embeddings', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://models.phanedge.cloud/v1/embeddings",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://models.phanedge.cloud/v1/embeddings"
payload := strings.NewReader("{}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://models.phanedge.cloud/v1/embeddings")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{}")
.asString();require 'uri'
require 'net/http'
url = URI("https://models.phanedge.cloud/v1/embeddings")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{}"
response = http.request(request)
puts response.read_body{}POST /v1/embeddings 用于把文本转换为向量,适合语义检索、聚类、召回和重排前的候选生成。
请求示例
curl -X POST "https://models.phanedge.cloud/v1/embeddings" \
-H "Authorization: Bearer $TOKEN" \
-H "Content-Type: application/json" \
-d '{
"model": "text-embedding-3-small",
"input": "PhanEdge 支持统一调用多种模型能力"
}'
常见用法
- 将知识库文档切片后写入向量数据库。
- 对用户查询生成向量,用于相似内容召回。
- 与模型列表接口结合,按 Token 可用模型动态选择 embedding 模型。
如果你需要排查调用问题,请记录响应头中的请求 ID,并参考 请求追踪。
Authorizations
Authorization: Bearer
Body
application/json
The body is of type object.
Response
200 - application/json
OK
The response is of type object.

