curl --request POST \
  --url https://api.minimax.cn/v1/responses/input_tokens \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: <content-type>' \
  --data '
{
  "model": "MiniMax-M3.1-Flash-Preview",
  "input": [
    {
      "type": "message",
      "role": "user",
      "content": "请帮我用 Python 实现一个支持泛型的快速排序算法，要求：1) 原地排序节省内存；2) 处理重复元素时使用三路划分；3) 小数组切换到插入排序优化；4) 提供完整的单元测试。最后还请解释一下三路划分相比经典 Lomuto 划分在重复键场景下的优势。"
    }
  ],
  "tools": [
    {
      "type": "function",
      "name": "search_docs",
      "description": "搜索 Python 标准库或第三方库的官方文档",
      "parameters": {
        "type": "object",
        "properties": {
          "library": {
            "type": "string",
            "description": "库名称，如 `typing`、`itertools`"
          },
          "query": {
            "type": "string",
            "description": "搜索关键词"
          }
        },
        "required": [
          "library",
          "query"
        ]
      }
    },
    {
      "type": "function",
      "name": "run_python",
      "description": "在沙箱中执行 Python 代码，返回标准输出和错误信息",
      "parameters": {
        "type": "object",
        "properties": {
          "code": {
            "type": "string",
            "description": "要执行的 Python 代码"
          },
          "timeout_seconds": {
            "type": "integer",
            "description": "执行超时时间（秒）",
            "default": 10
          }
        },
        "required": [
          "code"
        ]
      }
    }
  ]
}
'

import requests

url = "https://api.minimax.cn/v1/responses/input_tokens"

payload = {
    "model": "MiniMax-M3.1-Flash-Preview",
    "input": [
        {
            "type": "message",
            "role": "user",
            "content": "请帮我用 Python 实现一个支持泛型的快速排序算法，要求：1) 原地排序节省内存；2) 处理重复元素时使用三路划分；3) 小数组切换到插入排序优化；4) 提供完整的单元测试。最后还请解释一下三路划分相比经典 Lomuto 划分在重复键场景下的优势。"
        }
    ],
    "tools": [
        {
            "type": "function",
            "name": "search_docs",
            "description": "搜索 Python 标准库或第三方库的官方文档",
            "parameters": {
                "type": "object",
                "properties": {
                    "library": {
                        "type": "string",
                        "description": "库名称，如 `typing`、`itertools`"
                    },
                    "query": {
                        "type": "string",
                        "description": "搜索关键词"
                    }
                },
                "required": ["library", "query"]
            }
        },
        {
            "type": "function",
            "name": "run_python",
            "description": "在沙箱中执行 Python 代码，返回标准输出和错误信息",
            "parameters": {
                "type": "object",
                "properties": {
                    "code": {
                        "type": "string",
                        "description": "要执行的 Python 代码"
                    },
                    "timeout_seconds": {
                        "type": "integer",
                        "description": "执行超时时间（秒）",
                        "default": 10
                    }
                },
                "required": ["code"]
            }
        }
    ]
}
headers = {
    "Content-Type": "<content-type>",
    "Authorization": "Bearer <token>"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': '<content-type>', Authorization: 'Bearer <token>'},
  body: JSON.stringify({
    model: 'MiniMax-M3.1-Flash-Preview',
    input: [
      {
        type: 'message',
        role: 'user',
        content: '请帮我用 Python 实现一个支持泛型的快速排序算法，要求：1) 原地排序节省内存；2) 处理重复元素时使用三路划分；3) 小数组切换到插入排序优化；4) 提供完整的单元测试。最后还请解释一下三路划分相比经典 Lomuto 划分在重复键场景下的优势。'
      }
    ],
    tools: [
      {
        type: 'function',
        name: 'search_docs',
        description: '搜索 Python 标准库或第三方库的官方文档',
        parameters: {
          type: 'object',
          properties: {
            library: {type: 'string', description: '库名称，如 `typing`、`itertools`'},
            query: {type: 'string', description: '搜索关键词'}
          },
          required: ['library', 'query']
        }
      },
      {
        type: 'function',
        name: 'run_python',
        description: '在沙箱中执行 Python 代码，返回标准输出和错误信息',
        parameters: {
          type: 'object',
          properties: {
            code: {type: 'string', description: '要执行的 Python 代码'},
            timeout_seconds: {type: 'integer', description: '执行超时时间（秒）', default: 10}
          },
          required: ['code']
        }
      }
    ]
  })
};

fetch('https://api.minimax.cn/v1/responses/input_tokens', 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.minimax.cn/v1/responses/input_tokens",
  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-M3.1-Flash-Preview',
    'input' => [
        [
                'type' => 'message',
                'role' => 'user',
                'content' => '请帮我用 Python 实现一个支持泛型的快速排序算法，要求：1) 原地排序节省内存；2) 处理重复元素时使用三路划分；3) 小数组切换到插入排序优化；4) 提供完整的单元测试。最后还请解释一下三路划分相比经典 Lomuto 划分在重复键场景下的优势。'
        ]
    ],
    'tools' => [
        [
                'type' => 'function',
                'name' => 'search_docs',
                'description' => '搜索 Python 标准库或第三方库的官方文档',
                'parameters' => [
                                'type' => 'object',
                                'properties' => [
                                                                'library' => [
                                                                                                                                'type' => 'string',
                                                                                                                                'description' => '库名称，如 `typing`、`itertools`'
                                                                ],
                                                                'query' => [
                                                                                                                                'type' => 'string',
                                                                                                                                'description' => '搜索关键词'
                                                                ]
                                ],
                                'required' => [
                                                                'library',
                                                                'query'
                                ]
                ]
        ],
        [
                'type' => 'function',
                'name' => 'run_python',
                'description' => '在沙箱中执行 Python 代码，返回标准输出和错误信息',
                'parameters' => [
                                'type' => 'object',
                                'properties' => [
                                                                'code' => [
                                                                                                                                'type' => 'string',
                                                                                                                                'description' => '要执行的 Python 代码'
                                                                ],
                                                                'timeout_seconds' => [
                                                                                                                                'type' => 'integer',
                                                                                                                                'description' => '执行超时时间（秒）',
                                                                                                                                'default' => 10
                                                                ]
                                ],
                                'required' => [
                                                                'code'
                                ]
                ]
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: <content-type>"
  ],
]);

$response = curl_exec($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://api.minimax.cn/v1/responses/input_tokens"

	payload := strings.NewReader("{\n  \"model\": \"MiniMax-M3.1-Flash-Preview\",\n  \"input\": [\n    {\n      \"type\": \"message\",\n      \"role\": \"user\",\n      \"content\": \"请帮我用 Python 实现一个支持泛型的快速排序算法，要求：1) 原地排序节省内存；2) 处理重复元素时使用三路划分；3) 小数组切换到插入排序优化；4) 提供完整的单元测试。最后还请解释一下三路划分相比经典 Lomuto 划分在重复键场景下的优势。\"\n    }\n  ],\n  \"tools\": [\n    {\n      \"type\": \"function\",\n      \"name\": \"search_docs\",\n      \"description\": \"搜索 Python 标准库或第三方库的官方文档\",\n      \"parameters\": {\n        \"type\": \"object\",\n        \"properties\": {\n          \"library\": {\n            \"type\": \"string\",\n            \"description\": \"库名称，如 `typing`、`itertools`\"\n          },\n          \"query\": {\n            \"type\": \"string\",\n            \"description\": \"搜索关键词\"\n          }\n        },\n        \"required\": [\n          \"library\",\n          \"query\"\n        ]\n      }\n    },\n    {\n      \"type\": \"function\",\n      \"name\": \"run_python\",\n      \"description\": \"在沙箱中执行 Python 代码，返回标准输出和错误信息\",\n      \"parameters\": {\n        \"type\": \"object\",\n        \"properties\": {\n          \"code\": {\n            \"type\": \"string\",\n            \"description\": \"要执行的 Python 代码\"\n          },\n          \"timeout_seconds\": {\n            \"type\": \"integer\",\n            \"description\": \"执行超时时间（秒）\",\n            \"default\": 10\n          }\n        },\n        \"required\": [\n          \"code\"\n        ]\n      }\n    }\n  ]\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Content-Type", "<content-type>")
	req.Header.Add("Authorization", "Bearer <token>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.minimax.cn/v1/responses/input_tokens")
  .header("Content-Type", "<content-type>")
  .header("Authorization", "Bearer <token>")
  .body("{\n  \"model\": \"MiniMax-M3.1-Flash-Preview\",\n  \"input\": [\n    {\n      \"type\": \"message\",\n      \"role\": \"user\",\n      \"content\": \"请帮我用 Python 实现一个支持泛型的快速排序算法，要求：1) 原地排序节省内存；2) 处理重复元素时使用三路划分；3) 小数组切换到插入排序优化；4) 提供完整的单元测试。最后还请解释一下三路划分相比经典 Lomuto 划分在重复键场景下的优势。\"\n    }\n  ],\n  \"tools\": [\n    {\n      \"type\": \"function\",\n      \"name\": \"search_docs\",\n      \"description\": \"搜索 Python 标准库或第三方库的官方文档\",\n      \"parameters\": {\n        \"type\": \"object\",\n        \"properties\": {\n          \"library\": {\n            \"type\": \"string\",\n            \"description\": \"库名称，如 `typing`、`itertools`\"\n          },\n          \"query\": {\n            \"type\": \"string\",\n            \"description\": \"搜索关键词\"\n          }\n        },\n        \"required\": [\n          \"library\",\n          \"query\"\n        ]\n      }\n    },\n    {\n      \"type\": \"function\",\n      \"name\": \"run_python\",\n      \"description\": \"在沙箱中执行 Python 代码，返回标准输出和错误信息\",\n      \"parameters\": {\n        \"type\": \"object\",\n        \"properties\": {\n          \"code\": {\n            \"type\": \"string\",\n            \"description\": \"要执行的 Python 代码\"\n          },\n          \"timeout_seconds\": {\n            \"type\": \"integer\",\n            \"description\": \"执行超时时间（秒）\",\n            \"default\": 10\n          }\n        },\n        \"required\": [\n          \"code\"\n        ]\n      }\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.minimax.cn/v1/responses/input_tokens")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Content-Type"] = '<content-type>'
request["Authorization"] = 'Bearer <token>'
request.body = "{\n  \"model\": \"MiniMax-M3.1-Flash-Preview\",\n  \"input\": [\n    {\n      \"type\": \"message\",\n      \"role\": \"user\",\n      \"content\": \"请帮我用 Python 实现一个支持泛型的快速排序算法，要求：1) 原地排序节省内存；2) 处理重复元素时使用三路划分；3) 小数组切换到插入排序优化；4) 提供完整的单元测试。最后还请解释一下三路划分相比经典 Lomuto 划分在重复键场景下的优势。\"\n    }\n  ],\n  \"tools\": [\n    {\n      \"type\": \"function\",\n      \"name\": \"search_docs\",\n      \"description\": \"搜索 Python 标准库或第三方库的官方文档\",\n      \"parameters\": {\n        \"type\": \"object\",\n        \"properties\": {\n          \"library\": {\n            \"type\": \"string\",\n            \"description\": \"库名称，如 `typing`、`itertools`\"\n          },\n          \"query\": {\n            \"type\": \"string\",\n            \"description\": \"搜索关键词\"\n          }\n        },\n        \"required\": [\n          \"library\",\n          \"query\"\n        ]\n      }\n    },\n    {\n      \"type\": \"function\",\n      \"name\": \"run_python\",\n      \"description\": \"在沙箱中执行 Python 代码，返回标准输出和错误信息\",\n      \"parameters\": {\n        \"type\": \"object\",\n        \"properties\": {\n          \"code\": {\n            \"type\": \"string\",\n            \"description\": \"要执行的 Python 代码\"\n          },\n          \"timeout_seconds\": {\n            \"type\": \"integer\",\n            \"description\": \"执行超时时间（秒）\",\n            \"default\": 10\n          }\n        },\n        \"required\": [\n          \"code\"\n        ]\n      }\n    }\n  ]\n}"

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

{
  "object": "response.input_tokens",
  "input_tokens": 588
}