curl --request POST \
  --url https://direct.evolink.ai/v1/responses \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "gpt-6-astra",
  "input": "Search for AI news from the past week and summarize it in three sentences.",
  "instructions": "You are a concise assistant. Answer in no more than three sentences.",
  "stream": false,
  "max_output_tokens": 2048,
  "reasoning": {
    "effort": "medium",
    "summary": "auto",
    "mode": "standard",
    "context": "current_turn"
  },
  "text": {
    "format": {},
    "verbosity": "medium"
  },
  "tools": [
    {
      "type": "web_search"
    }
  ],
  "max_tool_calls": 5,
  "parallel_tool_calls": true,
  "previous_response_id": "resp_0f5c2b2c20c39e8a006a7ef545443081979e478b10927984b5",
  "store": true,
  "include": [
    "reasoning.encrypted_content"
  ],
  "temperature": 1,
  "top_p": 1,
  "top_logprobs": 2,
  "frequency_penalty": 0,
  "presence_penalty": 0,
  "truncation": "auto",
  "context_management": [
    {}
  ],
  "prompt_cache_key": "app-agent-v1",
  "prompt_cache_retention": "in_memory",
  "prompt": {
    "id": "<string>",
    "version": "<string>",
    "variables": {}
  },
  "metadata": {
    "trace_id": "abc-123"
  },
  "safety_identifier": "user-1024",
  "user": "user-1024"
}
'

import requests

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

payload = {
    "model": "gpt-6-astra",
    "input": "Search for AI news from the past week and summarize it in three sentences.",
    "instructions": "You are a concise assistant. Answer in no more than three sentences.",
    "stream": False,
    "max_output_tokens": 2048,
    "reasoning": {
        "effort": "medium",
        "summary": "auto",
        "mode": "standard",
        "context": "current_turn"
    },
    "text": {
        "format": {},
        "verbosity": "medium"
    },
    "tools": [{ "type": "web_search" }],
    "max_tool_calls": 5,
    "parallel_tool_calls": True,
    "previous_response_id": "resp_0f5c2b2c20c39e8a006a7ef545443081979e478b10927984b5",
    "store": True,
    "include": ["reasoning.encrypted_content"],
    "temperature": 1,
    "top_p": 1,
    "top_logprobs": 2,
    "frequency_penalty": 0,
    "presence_penalty": 0,
    "truncation": "auto",
    "context_management": [{}],
    "prompt_cache_key": "app-agent-v1",
    "prompt_cache_retention": "in_memory",
    "prompt": {
        "id": "<string>",
        "version": "<string>",
        "variables": {}
    },
    "metadata": { "trace_id": "abc-123" },
    "safety_identifier": "user-1024",
    "user": "user-1024"
}
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-astra',
    input: 'Search for AI news from the past week and summarize it in three sentences.',
    instructions: 'You are a concise assistant. Answer in no more than three sentences.',
    stream: false,
    max_output_tokens: 2048,
    reasoning: {effort: 'medium', summary: 'auto', mode: 'standard', context: 'current_turn'},
    text: {format: {}, verbosity: 'medium'},
    tools: [{type: 'web_search'}],
    max_tool_calls: 5,
    parallel_tool_calls: true,
    previous_response_id: 'resp_0f5c2b2c20c39e8a006a7ef545443081979e478b10927984b5',
    store: true,
    include: ['reasoning.encrypted_content'],
    temperature: 1,
    top_p: 1,
    top_logprobs: 2,
    frequency_penalty: 0,
    presence_penalty: 0,
    truncation: 'auto',
    context_management: [{}],
    prompt_cache_key: 'app-agent-v1',
    prompt_cache_retention: 'in_memory',
    prompt: {id: '<string>', version: '<string>', variables: {}},
    metadata: {trace_id: 'abc-123'},
    safety_identifier: 'user-1024',
    user: 'user-1024'
  })
};

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-astra',
    'input' => 'Search for AI news from the past week and summarize it in three sentences.',
    'instructions' => 'You are a concise assistant. Answer in no more than three sentences.',
    'stream' => false,
    'max_output_tokens' => 2048,
    'reasoning' => [
        'effort' => 'medium',
        'summary' => 'auto',
        'mode' => 'standard',
        'context' => 'current_turn'
    ],
    'text' => [
        'format' => [
                
        ],
        'verbosity' => 'medium'
    ],
    'tools' => [
        [
                'type' => 'web_search'
        ]
    ],
    'max_tool_calls' => 5,
    'parallel_tool_calls' => true,
    'previous_response_id' => 'resp_0f5c2b2c20c39e8a006a7ef545443081979e478b10927984b5',
    'store' => true,
    'include' => [
        'reasoning.encrypted_content'
    ],
    'temperature' => 1,
    'top_p' => 1,
    'top_logprobs' => 2,
    'frequency_penalty' => 0,
    'presence_penalty' => 0,
    'truncation' => 'auto',
    'context_management' => [
        [
                
        ]
    ],
    'prompt_cache_key' => 'app-agent-v1',
    'prompt_cache_retention' => 'in_memory',
    'prompt' => [
        'id' => '<string>',
        'version' => '<string>',
        'variables' => [
                
        ]
    ],
    'metadata' => [
        'trace_id' => 'abc-123'
    ],
    'safety_identifier' => 'user-1024',
    'user' => 'user-1024'
  ]),
  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-astra\",\n  \"input\": \"Search for AI news from the past week and summarize it in three sentences.\",\n  \"instructions\": \"You are a concise assistant. Answer in no more than three sentences.\",\n  \"stream\": false,\n  \"max_output_tokens\": 2048,\n  \"reasoning\": {\n    \"effort\": \"medium\",\n    \"summary\": \"auto\",\n    \"mode\": \"standard\",\n    \"context\": \"current_turn\"\n  },\n  \"text\": {\n    \"format\": {},\n    \"verbosity\": \"medium\"\n  },\n  \"tools\": [\n    {\n      \"type\": \"web_search\"\n    }\n  ],\n  \"max_tool_calls\": 5,\n  \"parallel_tool_calls\": true,\n  \"previous_response_id\": \"resp_0f5c2b2c20c39e8a006a7ef545443081979e478b10927984b5\",\n  \"store\": true,\n  \"include\": [\n    \"reasoning.encrypted_content\"\n  ],\n  \"temperature\": 1,\n  \"top_p\": 1,\n  \"top_logprobs\": 2,\n  \"frequency_penalty\": 0,\n  \"presence_penalty\": 0,\n  \"truncation\": \"auto\",\n  \"context_management\": [\n    {}\n  ],\n  \"prompt_cache_key\": \"app-agent-v1\",\n  \"prompt_cache_retention\": \"in_memory\",\n  \"prompt\": {\n    \"id\": \"<string>\",\n    \"version\": \"<string>\",\n    \"variables\": {}\n  },\n  \"metadata\": {\n    \"trace_id\": \"abc-123\"\n  },\n  \"safety_identifier\": \"user-1024\",\n  \"user\": \"user-1024\"\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-astra\",\n  \"input\": \"Search for AI news from the past week and summarize it in three sentences.\",\n  \"instructions\": \"You are a concise assistant. Answer in no more than three sentences.\",\n  \"stream\": false,\n  \"max_output_tokens\": 2048,\n  \"reasoning\": {\n    \"effort\": \"medium\",\n    \"summary\": \"auto\",\n    \"mode\": \"standard\",\n    \"context\": \"current_turn\"\n  },\n  \"text\": {\n    \"format\": {},\n    \"verbosity\": \"medium\"\n  },\n  \"tools\": [\n    {\n      \"type\": \"web_search\"\n    }\n  ],\n  \"max_tool_calls\": 5,\n  \"parallel_tool_calls\": true,\n  \"previous_response_id\": \"resp_0f5c2b2c20c39e8a006a7ef545443081979e478b10927984b5\",\n  \"store\": true,\n  \"include\": [\n    \"reasoning.encrypted_content\"\n  ],\n  \"temperature\": 1,\n  \"top_p\": 1,\n  \"top_logprobs\": 2,\n  \"frequency_penalty\": 0,\n  \"presence_penalty\": 0,\n  \"truncation\": \"auto\",\n  \"context_management\": [\n    {}\n  ],\n  \"prompt_cache_key\": \"app-agent-v1\",\n  \"prompt_cache_retention\": \"in_memory\",\n  \"prompt\": {\n    \"id\": \"<string>\",\n    \"version\": \"<string>\",\n    \"variables\": {}\n  },\n  \"metadata\": {\n    \"trace_id\": \"abc-123\"\n  },\n  \"safety_identifier\": \"user-1024\",\n  \"user\": \"user-1024\"\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-astra\",\n  \"input\": \"Search for AI news from the past week and summarize it in three sentences.\",\n  \"instructions\": \"You are a concise assistant. Answer in no more than three sentences.\",\n  \"stream\": false,\n  \"max_output_tokens\": 2048,\n  \"reasoning\": {\n    \"effort\": \"medium\",\n    \"summary\": \"auto\",\n    \"mode\": \"standard\",\n    \"context\": \"current_turn\"\n  },\n  \"text\": {\n    \"format\": {},\n    \"verbosity\": \"medium\"\n  },\n  \"tools\": [\n    {\n      \"type\": \"web_search\"\n    }\n  ],\n  \"max_tool_calls\": 5,\n  \"parallel_tool_calls\": true,\n  \"previous_response_id\": \"resp_0f5c2b2c20c39e8a006a7ef545443081979e478b10927984b5\",\n  \"store\": true,\n  \"include\": [\n    \"reasoning.encrypted_content\"\n  ],\n  \"temperature\": 1,\n  \"top_p\": 1,\n  \"top_logprobs\": 2,\n  \"frequency_penalty\": 0,\n  \"presence_penalty\": 0,\n  \"truncation\": \"auto\",\n  \"context_management\": [\n    {}\n  ],\n  \"prompt_cache_key\": \"app-agent-v1\",\n  \"prompt_cache_retention\": \"in_memory\",\n  \"prompt\": {\n    \"id\": \"<string>\",\n    \"version\": \"<string>\",\n    \"variables\": {}\n  },\n  \"metadata\": {\n    \"trace_id\": \"abc-123\"\n  },\n  \"safety_identifier\": \"user-1024\",\n  \"user\": \"user-1024\"\n}"

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

{
  "id": "resp_0f5c2b2c20c39e8a006a7ef545443081979e478b10927984b5",
  "object": "response",
  "status": "completed",
  "model": "gpt-6-astra",
  "created_at": 1786705221,
  "output": [
    {
      "id": "<string>",
      "type": "web_search_call",
      "status": "completed",
      "content": [
        {}
      ],
      "encrypted_content": "<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
    }
  },
  "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/billing"
  }
}

{
  "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"
  }
}