curl --request GET \
  --url https://api.eachlabs.ai/v1/llm-router/model-catalog

import requests

url = "https://api.eachlabs.ai/v1/llm-router/model-catalog"

response = requests.get(url)

print(response.text)

const options = {method: 'GET'};

fetch('https://api.eachlabs.ai/v1/llm-router/model-catalog', 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.eachlabs.ai/v1/llm-router/model-catalog",
  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.eachlabs.ai/v1/llm-router/model-catalog"

	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.eachlabs.ai/v1/llm-router/model-catalog")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.eachlabs.ai/v1/llm-router/model-catalog")

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

{
  "slug": "eachlabs-llm-router",
  "source": "catalog",
  "version": 1,
  "updated_at": "2026-05-24",
  "model_enum": [
    "openai/gpt-5.2",
    "anthropic/claude-sonnet-4-6"
  ],
  "request_schema": {},
  "models": [
    {
      "id": "openai/gpt-5.2",
      "status": "visible",
      "family": "openai",
      "canonical_provider": "openrouter",
      "canonical_target_model": "openai/gpt-5.2",
      "routing_policy": "explicit_route",
      "legacy_requesty": true,
      "title": "GPT-5.2",
      "description": "<string>",
      "faqs": [
        {
          "question": "<string>",
          "answer": "<string>"
        }
      ],
      "readme_md": "<string>"
    }
  ]
}

{
  "error": "Failed to fetch models: internal error"
}