SiliconFlow

获取用户模型列表

Retrieve models information.

GET
/models
AuthorizationBearer <token>required

Use the following format for authentication: Bearer

In: header

Query Parameters

typestring

The type of models

Value in"text" | "image" | "audio" | "video"
sub_typestring

The sub type of models. You can use it to filter models individually without setting type.

Value in"chat" | "embedding" | "reranker" | "text-to-image" | "image-to-image" | "speech-to-text" | "text-to-video"

Response Body

fetch("https://api.siliconflow.cn/v1/models?type=text&sub_type=chat")
package main

import (
  "fmt"
  "net/http"
  "io/ioutil"
)

func main() {
  url := "https://api.siliconflow.cn/v1/models?type=text&sub_type=chat"

  req, _ := http.NewRequest("GET", url, nil)
  
  res, _ := http.DefaultClient.Do(req)
  defer res.Body.Close()
  body, _ := ioutil.ReadAll(res.Body)

  fmt.Println(res)
  fmt.Println(string(body))
}
import requests

url = "https://api.siliconflow.cn/v1/models?type=text&sub_type=chat"

response = requests.request("GET", url)

print(response.text)
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.http.HttpResponse.BodyHandlers;
import java.time.Duration;

HttpClient client = HttpClient.newBuilder()
  .connectTimeout(Duration.ofSeconds(10))
  .build();

HttpRequest.Builder requestBuilder = HttpRequest.newBuilder()
  .uri(URI.create("https://api.siliconflow.cn/v1/models?type=text&sub_type=chat"))
  .GET()
  .build();

try {
  HttpResponse<String> response = client.send(requestBuilder.build(), BodyHandlers.ofString());
  System.out.println("Status code: " + response.statusCode());
  System.out.println("Response body: " + response.body());
} catch (Exception e) {
  e.printStackTrace();
}
using System;
using System.Net.Http;
using System.Text;

var client = new HttpClient();
var response = await client.GetAsync("https://api.siliconflow.cn/v1/models?type=text&sub_type=chat");
var responseBody = await response.Content.ReadAsStringAsync();
curl --request GET \
--url https://api.siliconflow.cn/v1/models \
--header 'Authorization: Bearer <token>'        
import requests

url = "https://api.siliconflow.cn/v1/models"

headers = {"Authorization": "Bearer <token>"}

response = requests.request("GET", url, headers=headers)

print(response.text)
const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};

fetch('https://api.siliconflow.cn/v1/models', options)
  .then(response => response.json())
  .then(response => console.log(response))
  .catch(err => console.error(err));      
{
  "object": "list",
  "data": [
    {
      "id": "stabilityai/stable-diffusion-xl-base-1.0",
      "object": "model",
      "created": 0,
      "owned_by": ""
    }
  ]
}
{
  "code": 20012,
  "message": "string",
  "data": "string"
}
"Invalid token"
"Forbidden"
"404 page not found"
{
  "message": "Request was rejected due to rate limiting. If you want more, please contact contact@siliconflow.cn. Details:TPM limit reached.",
  "data": "string"
}
{
  "code": 50505,
  "message": "Model service overloaded. Please try again later.",
  "data": "string"
}
"string"