curl --request POST \
  --url https://direct.evolink.ai/v1/responses \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "gpt-6.1-sol",
  "input": "量子もつれを一文で説明してください。"
}
'

import requests

url = "https://direct.evolink.ai/v1/responses"

payload = {
    "model": "gpt-6.1-sol",
    "input": "量子もつれを一文で説明してください。"
}
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({model: 'gpt-6.1-sol', input: '量子もつれを一文で説明してください。'})
};

fetch('https://direct.evolink.ai/v1/responses', 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://direct.evolink.ai/v1/responses",
  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([
    'model' => 'gpt-6.1-sol',
    'input' => '量子もつれを一文で説明してください。'
  ]),
  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://direct.evolink.ai/v1/responses"

	payload := strings.NewReader("{\n  \"model\": \"gpt-6.1-sol\",\n  \"input\": \"量子もつれを一文で説明してください。\"\n}")

	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://direct.evolink.ai/v1/responses")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"gpt-6.1-sol\",\n  \"input\": \"量子もつれを一文で説明してください。\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://direct.evolink.ai/v1/responses")

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 = "{\n  \"model\": \"gpt-6.1-sol\",\n  \"input\": \"量子もつれを一文で説明してください。\"\n}"

response = http.request(request)
puts response.read_body

{
  "id": "resp_0f5c2b2c20c39e8a006a7ef545443081979e478b10927984b5",
  "object": "response",
  "status": "completed",
  "model": "gpt-6.1-sol",
  "created_at": 1786705221,
  "output": [
    {
      "id": "<string>",
      "type": "web_search_call",
      "status": "completed",
      "content": [
        {}
      ],
      "encrypted_content": "<string>",
      "result": "<string>"
    }
  ],
  "incomplete_details": {},
  "usage": {
    "input_tokens": 18,
    "output_tokens": 42,
    "total_tokens": 60,
    "input_tokens_details": {
      "cached_tokens": 0,
      "cache_write_tokens": 0
    },
    "output_tokens_details": {
      "reasoning_tokens": 16
    }
  },
  "tool_usage": {
    "image_gen": {
      "input_tokens": 74,
      "input_tokens_details": {},
      "output_tokens": 196,
      "output_tokens_details": {},
      "total_tokens": 270
    }
  },
  "metadata": {}
}

{
  "error": {
    "code": 400,
    "message": "Invalid value: '__bogus__'. Supported values are: 'auto' and 'disabled'.",
    "type": "invalid_request_error",
    "param": "truncation"
  }
}

{
  "error": {
    "code": 401,
    "message": "Invalid or expired token",
    "type": "authentication_error"
  }
}

{
  "error": {
    "code": 402,
    "message": "Insufficient quota",
    "type": "insufficient_quota_error",
    "fallback_suggestion": "https://evolink.ai/dashboard/credits"
  }
}

{
  "error": {
    "code": 429,
    "message": "Rate limit exceeded",
    "type": "rate_limit_error",
    "fallback_suggestion": "retry after 60 seconds"
  }
}

{
  "error": {
    "code": 500,
    "message": "Internal server error",
    "type": "internal_server_error",
    "fallback_suggestion": "try again later"
  }
}

{
  "error": {
    "code": 503,
    "message": "Service temporarily unavailable",
    "type": "service_unavailable_error",
    "fallback_suggestion": "retry after 30 seconds"
  }
}