curl --request GET \
  --url https://api.pre.dev/v1/models/public

import requests

url = "https://api.pre.dev/v1/models/public"

response = requests.get(url)

print(response.text)

const options = {method: 'GET'};

fetch('https://api.pre.dev/v1/models/public', 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.pre.dev/v1/models/public",
  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.pre.dev/v1/models/public"

	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.pre.dev/v1/models/public")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.pre.dev/v1/models/public")

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

{
  "object": "list",
  "updated_at": "2026-09-27T19:34:01.315Z",
  "total": 2,
  "counts": {
    "text": 1,
    "image": 0,
    "video": 0,
    "embeddings": 1
  },
  "labs": [
    {
      "id": "anthropic",
      "name": "Anthropic",
      "models": 1
    },
    {
      "id": "openai",
      "name": "OpenAI",
      "models": 1
    }
  ],
  "data": [
    {
      "id": "anthropic/claude-sonnet-5",
      "name": "Claude Sonnet 5",
      "lab": "anthropic",
      "type": "text",
      "input": [
        "text",
        "image",
        "file"
      ],
      "output": [
        "text"
      ],
      "context_length": 1000000,
      "created": 1782843083
    },
    {
      "id": "openai/text-embedding-3-small",
      "name": "Text Embedding 3 Small",
      "lab": "openai",
      "type": "embeddings",
      "input": [
        "text"
      ],
      "output": [
        "embeddings"
      ],
      "context_length": 8192,
      "created": 1761857455
    }
  ]
}

{
  "error": {
    "message": "The pre.dev AI gateway hit an unexpected error.",
    "type": "server_error",
    "code": "internal_error",
    "param": null,
    "predev": {}
  }
}

{
  "error": {
    "message": "The model catalog is refreshing. Try again in a minute.",
    "type": "server_error",
    "code": "catalog_unavailable",
    "param": null,
    "predev": {}
  }
}