curl --request POST \
  --url https://direct.evolink.ai/v1/chat/completions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data @- <<EOF
{
  "model": "gpt-5.6-sol",
  "messages": [
    {
      "role": "system",
      "content": "You are a concise assistant."
    },
    {
      "role": "user",
      "content": "Explain quantum entanglement in one sentence."
    }
  ],
  "stream": false,
  "max_completion_tokens": 2048,
  "reasoning_effort": "medium",
  "verbosity": "low",
  "temperature": 0.7,
  "top_p": 0.9,
  "frequency_penalty": 0.5,
  "presence_penalty": 0.5,
  "logprobs": true,
  "top_logprobs": 2,
  "n": 1,
  "seed": 42,
  "response_format": {
    "type": "json_schema",
    "json_schema": {}
  },
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "get_weather",
        "description": "Obtenir la météo d'une ville donnée",
        "parameters": {}
      }
    }
  ],
  "parallel_tool_calls": true,
  "prompt_cache_key": "app-chat-v1",
  "user": "user-1024"
}
EOF

import requests

url = "https://direct.evolink.ai/v1/chat/completions"

payload = {
    "model": "gpt-5.6-sol",
    "messages": [
        {
            "role": "system",
            "content": "You are a concise assistant."
        },
        {
            "role": "user",
            "content": "Explain quantum entanglement in one sentence."
        }
    ],
    "stream": False,
    "max_completion_tokens": 2048,
    "reasoning_effort": "medium",
    "verbosity": "low",
    "temperature": 0.7,
    "top_p": 0.9,
    "frequency_penalty": 0.5,
    "presence_penalty": 0.5,
    "logprobs": True,
    "top_logprobs": 2,
    "n": 1,
    "seed": 42,
    "response_format": {
        "type": "json_schema",
        "json_schema": {}
    },
    "tools": [
        {
            "type": "function",
            "function": {
                "name": "get_weather",
                "description": "Obtenir la météo d'une ville donnée",
                "parameters": {}
            }
        }
    ],
    "parallel_tool_calls": True,
    "prompt_cache_key": "app-chat-v1",
    "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-5.6-sol',
    messages: [
      {role: 'system', content: 'You are a concise assistant.'},
      {role: 'user', content: 'Explain quantum entanglement in one sentence.'}
    ],
    stream: false,
    max_completion_tokens: 2048,
    reasoning_effort: 'medium',
    verbosity: 'low',
    temperature: 0.7,
    top_p: 0.9,
    frequency_penalty: 0.5,
    presence_penalty: 0.5,
    logprobs: true,
    top_logprobs: 2,
    n: 1,
    seed: 42,
    response_format: {type: 'json_schema', json_schema: {}},
    tools: [
      {
        type: 'function',
        function: {
          name: 'get_weather',
          description: 'Obtenir la météo d\'une ville donnée',
          parameters: {}
        }
      }
    ],
    parallel_tool_calls: true,
    prompt_cache_key: 'app-chat-v1',
    user: 'user-1024'
  })
};

fetch('https://direct.evolink.ai/v1/chat/completions', 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/chat/completions",
  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-5.6-sol',
    'messages' => [
        [
                'role' => 'system',
                'content' => 'You are a concise assistant.'
        ],
        [
                'role' => 'user',
                'content' => 'Explain quantum entanglement in one sentence.'
        ]
    ],
    'stream' => false,
    'max_completion_tokens' => 2048,
    'reasoning_effort' => 'medium',
    'verbosity' => 'low',
    'temperature' => 0.7,
    'top_p' => 0.9,
    'frequency_penalty' => 0.5,
    'presence_penalty' => 0.5,
    'logprobs' => true,
    'top_logprobs' => 2,
    'n' => 1,
    'seed' => 42,
    'response_format' => [
        'type' => 'json_schema',
        'json_schema' => [
                
        ]
    ],
    'tools' => [
        [
                'type' => 'function',
                'function' => [
                                'name' => 'get_weather',
                                'description' => 'Obtenir la météo d\'une ville donnée',
                                'parameters' => [
                                                                
                                ]
                ]
        ]
    ],
    'parallel_tool_calls' => true,
    'prompt_cache_key' => 'app-chat-v1',
    '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/chat/completions"

	payload := strings.NewReader("{\n  \"model\": \"gpt-5.6-sol\",\n  \"messages\": [\n    {\n      \"role\": \"system\",\n      \"content\": \"You are a concise assistant.\"\n    },\n    {\n      \"role\": \"user\",\n      \"content\": \"Explain quantum entanglement in one sentence.\"\n    }\n  ],\n  \"stream\": false,\n  \"max_completion_tokens\": 2048,\n  \"reasoning_effort\": \"medium\",\n  \"verbosity\": \"low\",\n  \"temperature\": 0.7,\n  \"top_p\": 0.9,\n  \"frequency_penalty\": 0.5,\n  \"presence_penalty\": 0.5,\n  \"logprobs\": true,\n  \"top_logprobs\": 2,\n  \"n\": 1,\n  \"seed\": 42,\n  \"response_format\": {\n    \"type\": \"json_schema\",\n    \"json_schema\": {}\n  },\n  \"tools\": [\n    {\n      \"type\": \"function\",\n      \"function\": {\n        \"name\": \"get_weather\",\n        \"description\": \"Obtenir la météo d'une ville donnée\",\n        \"parameters\": {}\n      }\n    }\n  ],\n  \"parallel_tool_calls\": true,\n  \"prompt_cache_key\": \"app-chat-v1\",\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/chat/completions")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"gpt-5.6-sol\",\n  \"messages\": [\n    {\n      \"role\": \"system\",\n      \"content\": \"You are a concise assistant.\"\n    },\n    {\n      \"role\": \"user\",\n      \"content\": \"Explain quantum entanglement in one sentence.\"\n    }\n  ],\n  \"stream\": false,\n  \"max_completion_tokens\": 2048,\n  \"reasoning_effort\": \"medium\",\n  \"verbosity\": \"low\",\n  \"temperature\": 0.7,\n  \"top_p\": 0.9,\n  \"frequency_penalty\": 0.5,\n  \"presence_penalty\": 0.5,\n  \"logprobs\": true,\n  \"top_logprobs\": 2,\n  \"n\": 1,\n  \"seed\": 42,\n  \"response_format\": {\n    \"type\": \"json_schema\",\n    \"json_schema\": {}\n  },\n  \"tools\": [\n    {\n      \"type\": \"function\",\n      \"function\": {\n        \"name\": \"get_weather\",\n        \"description\": \"Obtenir la météo d'une ville donnée\",\n        \"parameters\": {}\n      }\n    }\n  ],\n  \"parallel_tool_calls\": true,\n  \"prompt_cache_key\": \"app-chat-v1\",\n  \"user\": \"user-1024\"\n}")
  .asString();

require 'uri'
require 'net/http'

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

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-5.6-sol\",\n  \"messages\": [\n    {\n      \"role\": \"system\",\n      \"content\": \"You are a concise assistant.\"\n    },\n    {\n      \"role\": \"user\",\n      \"content\": \"Explain quantum entanglement in one sentence.\"\n    }\n  ],\n  \"stream\": false,\n  \"max_completion_tokens\": 2048,\n  \"reasoning_effort\": \"medium\",\n  \"verbosity\": \"low\",\n  \"temperature\": 0.7,\n  \"top_p\": 0.9,\n  \"frequency_penalty\": 0.5,\n  \"presence_penalty\": 0.5,\n  \"logprobs\": true,\n  \"top_logprobs\": 2,\n  \"n\": 1,\n  \"seed\": 42,\n  \"response_format\": {\n    \"type\": \"json_schema\",\n    \"json_schema\": {}\n  },\n  \"tools\": [\n    {\n      \"type\": \"function\",\n      \"function\": {\n        \"name\": \"get_weather\",\n        \"description\": \"Obtenir la météo d'une ville donnée\",\n        \"parameters\": {}\n      }\n    }\n  ],\n  \"parallel_tool_calls\": true,\n  \"prompt_cache_key\": \"app-chat-v1\",\n  \"user\": \"user-1024\"\n}"

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

{
  "id": "chatcmpl-CvJ2p8mQxK7nR4wS",
  "object": "chat.completion",
  "created": 1786705221,
  "model": "gpt-5.6-sol",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Quantum entanglement means the states of two particles are correlated, so measuring one instantly determines the state of the other.",
        "tool_calls": [
          {}
        ]
      },
      "logprobs": {},
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 18,
    "completion_tokens": 42,
    "total_tokens": 60,
    "prompt_tokens_details": {
      "cached_tokens": 0
    },
    "completion_tokens_details": {
      "reasoning_tokens": 16
    }
  }
}

{
  "error": {
    "code": 400,
    "message": "Unsupported parameter: 'stop' is not supported with this model.",
    "type": "invalid_request_error"
  }
}

{
  "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"
  }
}