List all candidate embedding models under the given credential type
curl --request GET \
--url https://api.example.com/embedding-model/import requests
url = "https://api.example.com/embedding-model/"
response = requests.get(url)
print(response.text)const options = {method: 'GET'};
fetch('https://api.example.com/embedding-model/', 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://api.example.com/embedding-model/",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "GET",
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "https://api.example.com/embedding-model/"
req, _ := http.NewRequest("GET", url, nil)
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.get("https://api.example.com/embedding-model/")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.example.com/embedding-model/")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Get.new(url)
response = http.request(request)
puts response.read_body{
"models": [
{
"name": "<string>",
"label": "<string>",
"dimensions": 123,
"type": "embedding_model",
"status": "active",
"input_types": [
"text/plain"
],
"output_types": [
"application/x-embedding"
],
"supported_dimensions": [
123
],
"context_size": 1,
"parameter_schema": {},
"parameter_overrides": {}
}
],
"total": 123
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>",
"input": "<unknown>",
"ctx": {}
}
]
}embedding-model
List all candidate embedding models under the given credential type
Return all candidate embedding models under the credential type.
Unlike /knowledge_bases/embedding_models, which narrows the
list to what the knowledge base’s dimension policy accepts, this
endpoint reports the provider’s full catalogue — it answers “what
can this credential do”, not “what can I build a KB with”.
Args: body (ListEmbeddingModelsRequest): The request body.
Returns:
ListEmbeddingModelsResponse: The response body.
GET
/
embedding-model
/
List all candidate embedding models under the given credential type
curl --request GET \
--url https://api.example.com/embedding-model/import requests
url = "https://api.example.com/embedding-model/"
response = requests.get(url)
print(response.text)const options = {method: 'GET'};
fetch('https://api.example.com/embedding-model/', 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://api.example.com/embedding-model/",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "GET",
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "https://api.example.com/embedding-model/"
req, _ := http.NewRequest("GET", url, nil)
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.get("https://api.example.com/embedding-model/")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.example.com/embedding-model/")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Get.new(url)
response = http.request(request)
puts response.read_body{
"models": [
{
"name": "<string>",
"label": "<string>",
"dimensions": 123,
"type": "embedding_model",
"status": "active",
"input_types": [
"text/plain"
],
"output_types": [
"application/x-embedding"
],
"supported_dimensions": [
123
],
"context_size": 1,
"parameter_schema": {},
"parameter_overrides": {}
}
],
"total": 123
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>",
"input": "<unknown>",
"ctx": {}
}
]
}