curl --request POST \
  --url https://www.anyfast.ai/v1/chat/completions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "MiniMax-M3",
  "messages": [
    {
      "role": "user",
      "content": "你好！"
    }
  ],
  "service_tier": "standard",
  "thinking": {
    "type": "adaptive"
  },
  "reasoning_split": true,
  "stream": false,
  "stream_options": {
    "include_usage": false
  },
  "max_completion_tokens": 2048,
  "max_tokens": 2,
  "temperature": 1,
  "top_p": 0.95,
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "<string>",
        "parameters": {},
        "description": "<string>"
      }
    }
  ]
}
'

import requests

url = "https://www.anyfast.ai/v1/chat/completions"

payload = {
    "model": "MiniMax-M3",
    "messages": [
        {
            "role": "user",
            "content": "你好！"
        }
    ],
    "service_tier": "standard",
    "thinking": { "type": "adaptive" },
    "reasoning_split": True,
    "stream": False,
    "stream_options": { "include_usage": False },
    "max_completion_tokens": 2048,
    "max_tokens": 2,
    "temperature": 1,
    "top_p": 0.95,
    "tools": [
        {
            "type": "function",
            "function": {
                "name": "<string>",
                "parameters": {},
                "description": "<string>"
            }
        }
    ]
}
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: 'MiniMax-M3',
    messages: [{role: 'user', content: '你好！'}],
    service_tier: 'standard',
    thinking: {type: 'adaptive'},
    reasoning_split: true,
    stream: false,
    stream_options: {include_usage: false},
    max_completion_tokens: 2048,
    max_tokens: 2,
    temperature: 1,
    top_p: 0.95,
    tools: [
      {
        type: 'function',
        function: {name: '<string>', parameters: {}, description: '<string>'}
      }
    ]
  })
};

fetch('https://www.anyfast.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://www.anyfast.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' => 'MiniMax-M3',
    'messages' => [
        [
                'role' => 'user',
                'content' => '你好！'
        ]
    ],
    'service_tier' => 'standard',
    'thinking' => [
        'type' => 'adaptive'
    ],
    'reasoning_split' => true,
    'stream' => false,
    'stream_options' => [
        'include_usage' => false
    ],
    'max_completion_tokens' => 2048,
    'max_tokens' => 2,
    'temperature' => 1,
    'top_p' => 0.95,
    'tools' => [
        [
                'type' => 'function',
                'function' => [
                                'name' => '<string>',
                                'parameters' => [
                                                                
                                ],
                                'description' => '<string>'
                ]
        ]
    ]
  ]),
  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://www.anyfast.ai/v1/chat/completions"

	payload := strings.NewReader("{\n  \"model\": \"MiniMax-M3\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"你好！\"\n    }\n  ],\n  \"service_tier\": \"standard\",\n  \"thinking\": {\n    \"type\": \"adaptive\"\n  },\n  \"reasoning_split\": true,\n  \"stream\": false,\n  \"stream_options\": {\n    \"include_usage\": false\n  },\n  \"max_completion_tokens\": 2048,\n  \"max_tokens\": 2,\n  \"temperature\": 1,\n  \"top_p\": 0.95,\n  \"tools\": [\n    {\n      \"type\": \"function\",\n      \"function\": {\n        \"name\": \"<string>\",\n        \"parameters\": {},\n        \"description\": \"<string>\"\n      }\n    }\n  ]\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://www.anyfast.ai/v1/chat/completions")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"MiniMax-M3\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"你好！\"\n    }\n  ],\n  \"service_tier\": \"standard\",\n  \"thinking\": {\n    \"type\": \"adaptive\"\n  },\n  \"reasoning_split\": true,\n  \"stream\": false,\n  \"stream_options\": {\n    \"include_usage\": false\n  },\n  \"max_completion_tokens\": 2048,\n  \"max_tokens\": 2,\n  \"temperature\": 1,\n  \"top_p\": 0.95,\n  \"tools\": [\n    {\n      \"type\": \"function\",\n      \"function\": {\n        \"name\": \"<string>\",\n        \"parameters\": {},\n        \"description\": \"<string>\"\n      }\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://www.anyfast.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\": \"MiniMax-M3\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"你好！\"\n    }\n  ],\n  \"service_tier\": \"standard\",\n  \"thinking\": {\n    \"type\": \"adaptive\"\n  },\n  \"reasoning_split\": true,\n  \"stream\": false,\n  \"stream_options\": {\n    \"include_usage\": false\n  },\n  \"max_completion_tokens\": 2048,\n  \"max_tokens\": 2,\n  \"temperature\": 1,\n  \"top_p\": 0.95,\n  \"tools\": [\n    {\n      \"type\": \"function\",\n      \"function\": {\n        \"name\": \"<string>\",\n        \"parameters\": {},\n        \"description\": \"<string>\"\n      }\n    }\n  ]\n}"

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

{
  "id": "066a33a7d290378f8a9e57a055812afa",
  "choices": [
    {
      "index": 123,
      "message": {
        "role": "assistant",
        "content": "<string>",
        "reasoning_content": "<string>",
        "reasoning_details": [
          {
            "type": "<string>",
            "id": "<string>",
            "format": "<string>",
            "index": 123,
            "text": "<string>"
          }
        ],
        "tool_calls": [
          {
            "id": "<string>",
            "type": "function",
            "function": {
              "name": "<string>",
              "arguments": "<string>"
            }
          }
        ]
      }
    }
  ],
  "created": 123,
  "model": "MiniMax-M3",
  "object": "chat.completion",
  "usage": {
    "total_tokens": 123,
    "total_characters": 123,
    "prompt_tokens": 123,
    "completion_tokens": 123,
    "prompt_tokens_details": {
      "cached_tokens": 123
    }
  },
  "input_sensitive": true,
  "input_sensitive_type": 123,
  "output_sensitive": true,
  "output_sensitive_type": 123,
  "base_resp": {
    "status_code": 123,
    "status_msg": "<string>"
  }
}

{
  "base_resp": {
    "status_code": 123,
    "status_msg": "<string>"
  },
  "error": {
    "code": "<string>",
    "message": "<string>"
  }
}

{
  "base_resp": {
    "status_code": 123,
    "status_msg": "<string>"
  },
  "error": {
    "code": "<string>",
    "message": "<string>"
  }
}

{
  "base_resp": {
    "status_code": 123,
    "status_msg": "<string>"
  },
  "error": {
    "code": "<string>",
    "message": "<string>"
  }
}