Alibaba Cloud Model Studio：概述

import os
from openai import OpenAI

try:
    client = OpenAI(
        # 各地區的API Key不同。擷取API Key：https://www.alibabacloud.com/help/zh/model-studio/get-api-key
        # 若沒有配置環境變數，請用阿里雲百鍊API Key將下行替換為：api_key="sk-xxx",
        api_key=os.getenv("DASHSCOPE_API_KEY"),
        # 各地區配置不同，請根據實際地區修改
        base_url="https://dashscope-intl.aliyuncs.com/api/v2/apps/protocols/compatible-mode/v1",
    )

    response = client.responses.create(
        model="qwen3.5-plus", 
        input="Briefly introduce what you can do?"
    )

    print(response)
except Exception as e:
    print(f"錯誤資訊：{e}")
    print("請參考文檔：https://www.alibabacloud.com/help/zh/model-studio/error-code")

返回結果

返回結果主要包含以下欄位：

• id：響應 ID。

• output：輸出資料行表。包含 reasoning（思考過程）和 message（回複內容）。

  reasoning僅在開啟深度思考時返回（如 Qwen3.5 系列預設開啟）。

• usage：Token 用量統計。

回複內容樣本如下，完整響應請參考curl。

Hello! I'm an AI assistant with knowledge current up to 2026. Here's a brief overview of what I can do:

*   **Content Creation:** Write emails, articles, stories, scripts, and more.
*   **Coding & Tech:** Generate, debug, and explain code across various programming languages.
*   **Analysis & Summarization:** Process documents, interpret data, and extract key insights.
*   **Problem Solving:** Assist with math, logic, reasoning, and strategic planning.
*   **Learning & Translation:** Explain complex topics simply or translate between multiple languages.

Feel free to ask me anything or give me a task to get started!

// 需要 Node.js v18+，需在 ES Module 環境下運行
import OpenAI from "openai";

const openai = new OpenAI({
    // 各地區的API Key不同。擷取API Key：https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    // 若沒有配置環境變數，請用阿里雲百鍊API Key將下行替換為：apiKey: "sk-xxx",
    apiKey: process.env.DASHSCOPE_API_KEY,
    // 各地區配置不同，請根據實際地區修改
    baseURL: "https://dashscope-intl.aliyuncs.com/api/v2/apps/protocols/compatible-mode/v1"
});

async function main() {
    try {
        const response = await openai.responses.create({
            model: "qwen3.5-plus",
            input: "Briefly introduce what you can do?"
        });

        // Get model response
        console.log(response);
    } catch (error) {
        console.error("Error:", error);
    }
}

main();

返回結果

返回結果主要包含以下欄位：

• id：響應 ID。

• output：輸出資料行表。包含 reasoning（思考過程）和 message（回複內容）。

  reasoning僅在開啟深度思考時返回（如 Qwen3.5 系列預設開啟）。

• usage：Token 用量統計。

回複內容樣本如下，完整響應請參考curl。

Hello! I'm an AI assistant with knowledge current up to 2026. Here's a brief overview of what I can do:

*   **Content Creation:** Write emails, articles, stories, scripts, and more.
*   **Coding & Tech:** Generate, debug, and explain code across various programming languages.
*   **Analysis & Summarization:** Process documents, interpret data, and extract key insights.
*   **Problem Solving:** Assist with math, logic, reasoning, and strategic planning.
*   **Learning & Translation:** Explain complex topics simply or translate between multiple languages.

Feel free to ask me anything or give me a task to get started!

# 各地區配置不同，請根據實際地區修改
curl -X POST https://dashscope-intl.aliyuncs.com/api/v2/apps/protocols/compatible-mode/v1/responses \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
    "model": "qwen3.5-plus",
    "input": "Briefly introduce what you can do?",
    "enable_thinking": true
}'

返回結果

{
    "created_at": 1772249518,
    "id": "7ad48c6b-3cc4-904f-9284-5f419c6c5xxx",
    "model": "qwen3.5-plus",
    "object": "response",
    "output": [
        {
            "id": "msg_94805179-2801-45da-ac1c-a87e8ea20xxx",
            "summary": [
                {
                    "text": "Okay, the user is asking me to briefly introduce what I can do. Let me start by recalling the capabilities listed in the system message. I need to make sure I cover the main points without getting too detailed.\n\nFirst, I should mention my enhanced language foundation and architecture efficiency. Then, the upgraded logical reasoning and mathematical capabilities. Visual analysis is another key point, including charts and formulas. Autonomous agent planning and code generation are important too. Human alignment optimization for better interaction, long-context handling up to 256K, and multilingual support with OCR.\n\nWait, the user said \"briefly,\" so I need to keep it concise. Maybe group some points together. Let me check the examples given in the system message. They have sections like Enhanced Language Foundation, Advanced Logical Reasoning, etc. But since it's a brief intro, I should summarize each capability in a sentence or two.\n\nAlso, the user might be looking for practical applications. Maybe highlight how these features help in real tasks. For example, handling long documents, solving math problems, analyzing images, writing code, etc.\n\nI should avoid technical jargon where possible. Make it clear and straightforward. Let me structure it as a list of key capabilities with short explanations. Start with a greeting, then list the main points, and end with an offer to help with specific tasks.\n\nWait, the system message says \"You are Qwen3.5,\" so I need to introduce myself as such. But the user just asked what I can do, so maybe start with \"I'm Qwen3.5...\" and then list the capabilities.\n\nCheck if all the upgraded features from Qwen3 to Qwen3.5 are covered. The main upgrades are in language foundation, reasoning, visual analysis, agent planning, code, alignment, context length, and multilingual OCR.\n\nMake sure not to mention the knowledge cutoff unless relevant. The user's current time is 2026, but since my knowledge is up to 2026, that's covered.\n\nOkay, let me draft a concise response highlighting each capability briefly. Keep it friendly and inviting for the user to ask for specific help.\n",
                    "type": "summary_text"
                }
            ],
            "type": "reasoning"
        },
        {
            "content": [
                {
                    "annotations": [],
                    "text": "I'm **Qwen3.5**, a large language model designed to assist with a wide range of tasks. Here's what I can do:  \n\n- **Understand & Generate Text**: Handle complex instructions, creative writing, and multi-step tasks with improved accuracy.  \n- **Solve Problems**: Tackle advanced math, logic puzzles, and scientific reasoning with step-by-step clarity.  \n- **Analyze Visuals**: Interpret charts, diagrams, formulas, and even extract text from images (OCR).  \n- **Plan & Execute**: Break down goals into actionable steps, run code, or interact with tools autonomously.  \n- **Code & Debug**: Write, explain, or fix code in multiple programming languages.  \n- **Long-Context Mastery**: Process documents, books, or videos up to **256K tokens** without losing key details.  \n- **Multilingual Support**: Communicate fluently in **100+ languages**, including low-resource ones.  \n\nNeed help with something specific? Just ask!",
                    "type": "output_text"
                }
            ],
            "id": "msg_35be06c6-ca4d-4f2b-9677-7897e488dxxx",
            "role": "assistant",
            "status": "completed",
            "type": "message"
        }
    ],
    "parallel_tool_calls": false,
    "status": "completed",
    "tool_choice": "auto",
    "tools": [],
    "usage": {
        "input_tokens": 54,
        "input_tokens_details": {
            "cached_tokens": 0
        },
        "output_tokens": 662,
        "output_tokens_details": {
            "reasoning_tokens": 447
        },
        "total_tokens": 716,
        "x_details": [
            {
                "input_tokens": 54,
                "output_tokens": 662,
                "output_tokens_details": {
                    "reasoning_tokens": 447
                },
                "total_tokens": 716,
                "x_billing_type": "response_api"
            }
        ]
    }
}

import os
from openai import OpenAI

try:
    client = OpenAI(
        # 各地區的API Key不同。擷取API Key：https://www.alibabacloud.com/help/zh/model-studio/get-api-key
        # 若沒有配置環境變數，請用阿里雲百鍊API Key將下行替換為：api_key="sk-xxx",
        api_key=os.getenv("DASHSCOPE_API_KEY"),
        # 各地區的base_url不同
        base_url="https://dashscope-intl.aliyuncs.com/compatible-mode/v1",
    )

    completion = client.chat.completions.create(
        model="qwen3.5-plus",
        messages=[
            {"role": "system", "content": "You are a helpful assistant."},
            {"role": "user", "content": "你是誰？"},
        ],
    )
    print(completion.choices[0].message.content)
    # 如需查看完整響應，請取消下列注釋
    # print(completion.model_dump_json())
except Exception as e:
    print(f"錯誤資訊：{e}")
    print("請參考文檔：https://www.alibabacloud.com/help/zh/model-studio/error-code")

返回結果

我是千問，阿里巴巴集團旗下的通義實驗室自主研發的超大規模語言模型。我可以協助你回答問題、創作文字，比如寫故事、寫公文、寫郵件、寫劇本、邏輯推理、編程等等，還能表達觀點，玩遊戲等。如果你有任何問題或需要協助，歡迎隨時告訴我！

// 建議 OpenAI Java SDK版本 >= 3.5.0
import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.chat.completions.ChatCompletion;
import com.openai.models.chat.completions.ChatCompletionCreateParams;

public class Main {
    public static void main(String[] args) {
        try {
            OpenAIClient client = OpenAIOkHttpClient.builder()
                    // 若沒有配置環境變數，請用阿里雲百鍊API Key將下行替換為.apiKey("sk-xxx")
                    // 各地區的API Key不同。擷取API Key：https://www.alibabacloud.com/help/zh/model-studio/get-api-key
                    .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                    // 各地區的base_url不同
                    .baseUrl("https://dashscope-intl.aliyuncs.com/compatible-mode/v1")
                    .build();

            // 建立 ChatCompletion 參數
            ChatCompletionCreateParams params = ChatCompletionCreateParams.builder()
                    .model("qwen3.5-plus")
                    .addSystemMessage("You are a helpful assistant.")
                    .addUserMessage("你是誰？")
                    .build();

            // 發送請求並擷取響應
            ChatCompletion chatCompletion = client.chat().completions().create(params);
            String content = chatCompletion.choices().get(0).message().content().orElse("未返回有效內容");
            System.out.println(content);
            
        } catch (Exception e) {
            System.err.println("錯誤資訊：" + e.getMessage());
            System.out.println("請參考文檔：https://www.alibabacloud.com/help/zh/model-studio/error-code");
        }
    }
}

返回結果

我是千問，阿里巴巴集團旗下的通義實驗室自主研發的超大規模語言模型。我可以協助你回答問題、創作文字，比如寫故事、寫公文、寫郵件、寫劇本、邏輯推理、編程等等，還能表達觀點，玩遊戲等。如果你有任何問題或需要協助，歡迎隨時告訴我！

// 需要 Node.js v18+，需在 ES Module 環境下運行
import OpenAI from "openai";

const openai = new OpenAI(
    {
        // 各地區的API Key不同。擷取API Key：https://www.alibabacloud.com/help/zh/model-studio/get-api-key
        // 若沒有配置環境變數，請用阿里雲百鍊API Key將下行替換為：apiKey: "sk-xxx",
        apiKey: process.env.DASHSCOPE_API_KEY,
        // 各地區的base_url不同
        baseURL: "https://dashscope-intl.aliyuncs.com/compatible-mode/v1"
        
    }
);
const completion = await openai.chat.completions.create({
    model: "qwen3.5-plus",
    messages: [
        { role: "system", content: "You are a helpful assistant." },
        { role: "user", content: "你是誰？" }
    ],
});
console.log(completion.choices[0].message.content);
// 如需查看完整響應，請取消下列注釋
// console.log(JSON.stringify(completion, null, 4));

返回結果

我是千問，阿里巴巴集團旗下的通義實驗室自主研發的超大規模語言模型。我可以協助你回答問題、創作文字，比如寫故事、寫公文、寫郵件、寫劇本、邏輯推理、編程等等，還能表達觀點，玩遊戲等。如果你有任何問題或需要協助，歡迎隨時告訴我！

// OpenAI Go SDK版本不低於 v2.4.0
package main

import (
	"context"
	// 如需查看完整響應，請取消下方及代碼末尾的注釋
	// "encoding/json"
	"fmt"
	"os"

	"github.com/openai/openai-go/v2"
	"github.com/openai/openai-go/v2/option"
)

func main() {
	// 若沒有配置環境變數，請用阿里雲百鍊API Key將下行替換為：apiKey := "sk-xxx"
	apiKey := os.Getenv("DASHSCOPE_API_KEY")
	client := openai.NewClient(
		option.WithAPIKey(apiKey),
		// 各地區的API Key不同。擷取API Key：https://www.alibabacloud.com/help/zh/model-studio/get-api-key
		// 各地區的base_url不同
		option.WithBaseURL("https://dashscope-intl.aliyuncs.com/compatible-mode/v1"),
	)
	chatCompletion, err := client.Chat.Completions.New(
		context.TODO(), openai.ChatCompletionNewParams{
			Messages: []openai.ChatCompletionMessageParamUnion{
				openai.SystemMessage("You are a helpful assistant."),
				openai.UserMessage("你是誰？"),
			},
			Model: "qwen3.5-plus",
		},
	)

	if err != nil {
		fmt.Fprintf(os.Stderr, "請求失敗: %v\n", err)
		// 更多錯誤資訊，請參考文檔：https://www.alibabacloud.com/help/zh/model-studio/error-code
		os.Exit(1)
	}

	if len(chatCompletion.Choices) > 0 {
		fmt.Println(chatCompletion.Choices[0].Message.Content)
	}
	// 如需查看完整響應，請取消下列注釋
	// jsonData, _ := json.MarshalIndent(chatCompletion, "", "  ")
	// fmt.Println(string(jsonData))

}

返回結果

我是千問，阿里巴巴集團旗下的通義實驗室自主研發的超大規模語言模型。我可以協助你回答問題、創作文字，比如寫故事、寫公文、寫郵件、寫劇本、邏輯推理、編程等等，還能表達觀點，玩遊戲等。如果你有任何問題或需要協助，歡迎隨時告訴我！

using System.Net.Http.Headers;
using System.Text;
using System.Text.Json;

class Program
{
    private static readonly HttpClient httpClient = new HttpClient();

    static async Task Main(string[] args)
    {
        // 若沒有配置環境變數，請用阿里雲百鍊API Key將下行替換為：string? apiKey = "sk-xxx";
        string? apiKey = Environment.GetEnvironmentVariable("DASHSCOPE_API_KEY");
        // 各地區的base_url不同
        string url = "https://dashscope-intl.aliyuncs.com/compatible-mode/v1/chat/completions";
        string jsonContent = @"{
            ""model"": ""qwen3.5-plus"",
            ""messages"": [
                {
                    ""role"": ""system"",
                    ""content"": ""You are a helpful assistant.""
                },
                {
                    ""role"": ""user"", 
                    ""content"": ""你是誰？""
                }
            ]
        }";

        // 發送請求並擷取響應
        string result = await SendPostRequestAsync(url, jsonContent, apiKey);
        
        // 如需查看完整響應，請取消下列注釋
        // Console.WriteLine(result);

        // 解析JSON並只輸出content部分
        using JsonDocument doc = JsonDocument.Parse(result);
        JsonElement root = doc.RootElement;
        
        if (root.TryGetProperty("choices", out JsonElement choices) && 
            choices.GetArrayLength() > 0)
        {
            JsonElement firstChoice = choices[0];
            if (firstChoice.TryGetProperty("message", out JsonElement message) &&
                message.TryGetProperty("content", out JsonElement content))
            {
                Console.WriteLine(content.GetString());
            }
        }
    }

    private static async Task<string> SendPostRequestAsync(string url, string jsonContent, string apiKey)
    {
        using (var content = new StringContent(jsonContent, Encoding.UTF8, "application/json"))
        {
            httpClient.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);
            httpClient.DefaultRequestHeaders.Accept.Add(new MediaTypeWithQualityHeaderValue("application/json"));
            HttpResponseMessage response = await httpClient.PostAsync(url, content);
            if (response.IsSuccessStatusCode)
            {
                return await response.Content.ReadAsStringAsync();
            }
            else
            {   
                // 更多錯誤資訊，請參考文檔：https://www.alibabacloud.com/help/zh/model-studio/error-code
                return $"請求失敗: {response.StatusCode}";
            }
        }
    }
}

返回結果

我是千問，阿里巴巴集團旗下的通義實驗室自主研發的超大規模語言模型。我可以協助你回答問題、創作文字，比如寫故事、寫公文、寫郵件、寫劇本、邏輯推理、編程等等，還能表達觀點，玩遊戲等。如果你有任何問題或需要協助，歡迎隨時告訴我！

<?php
// 佈建要求的URL
// 各地區的base_url不同
$url = 'https://dashscope-intl.aliyuncs.com/compatible-mode/v1/chat/completions';
// 各地區的API-Key不同。擷取API Key：https://www.alibabacloud.com/help/zh/model-studio/get-api-key
// 若沒有配置環境變數，請用阿里雲百鍊API Key將下行替換為：$apiKey = "sk-xxx";
$apiKey = getenv('DASHSCOPE_API_KEY');
// 佈建要求頭
$headers = [
    'Authorization: Bearer '.$apiKey,
    'Content-Type: application/json'
];
// 佈建要求體
$data = [
    "model" => "qwen3.5-plus",
    "messages" => [
        [
            "role" => "system",
            "content" => "You are a helpful assistant."
        ],
        [
            "role" => "user",
            "content" => "你是誰？"
        ]
    ]
];
// 初始化cURL會話
$ch = curl_init();
// 設定cURL選項
curl_setopt($ch, CURLOPT_URL, $url);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($data));
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);
// 執行cURL會話
$response = curl_exec($ch);
// 檢查是否有錯誤發生
// 更多錯誤資訊，請參考文檔：https://www.alibabacloud.com/help/zh/model-studio/error-code
if (curl_errno($ch)) {
    echo 'Curl error: ' . curl_error($ch);
}
// 關閉cURL資源
curl_close($ch);
// 輸出響應結果
$dataObject = json_decode($response);
$content = $dataObject->choices[0]->message->content;
echo $content;
// 如需查看完整響應，請取消下列注釋
//echo $response;
?>

返回結果

我是千問，阿里巴巴集團旗下的通義實驗室自主研發的超大規模語言模型。我可以協助你回答問題、創作文字，比如寫故事、寫公文、寫郵件、寫劇本、邏輯推理、編程等等，還能表達觀點，玩遊戲等。如果你有任何問題或需要協助，歡迎隨時告訴我！

# 各地區配置不同，請根據實際地區修改
curl -X POST https://dashscope-intl.aliyuncs.com/compatible-mode/v1/chat/completions \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
    "model": "qwen3.5-plus",
    "messages": [
        {
            "role": "system",
            "content": "You are a helpful assistant."
        },
        {
            "role": "user", 
            "content": "你是誰？"
        }
    ]
}'

返回結果

{
    "choices": [
        {
            "message": {
                "role": "assistant",
                "content": "我是千問，阿里巴巴集團旗下的通義實驗室自主研發的超大規模語言模型。我可以協助你回答問題、創作文字，比如寫故事、寫公文、寫郵件、寫劇本、邏輯推理、編程等等，還能表達觀點，玩遊戲等。如果你有任何問題或需要協助，歡迎隨時告訴我！"
            },
            "finish_reason": "stop",
            "index": 0,
            "logprobs": null
        }
    ],
    "object": "chat.completion",
    "usage": {
        "prompt_tokens": 26,
        "completion_tokens": 66,
        "total_tokens": 92
    },
    "created": 1726127645,
    "system_fingerprint": null,
    "model": "qwen3.5-plus",
    "id": "chatcmpl-81951b98-28b8-9659-ab07-xxxxxx"
}

import json
import os
from dashscope import Generation
import dashscope

# 各地區的base_url不同
dashscope.base_http_api_url = "https://dashscope-intl.aliyuncs.com/api/v1"

messages = [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "你是誰？"},
]
response = Generation.call(
    # 各地區的API-Key不同。擷取API Key：https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    # 若沒有配置環境變數，請用阿里雲百鍊API Key將下行替換為：api_key = "sk-xxx",
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # Qwen3.5系列需要使用多模態介面，直接替換模型會導致報錯
    model="qwen-plus",
    messages=messages,
    result_format="message",
)

if response.status_code == 200:
    print(response.output.choices[0].message.content)
    # 如需查看完整響應，請取消下列注釋
    # print(json.dumps(response, default=lambda o: o.__dict__, indent=4))
else:
    print(f"HTTP返回碼：{response.status_code}")
    print(f"錯誤碼：{response.code}")
    print(f"錯誤資訊：{response.message}")
    print("請參考文檔：https://www.alibabacloud.com/help/zh/model-studio/error-code")

返回結果

我是千問，阿里巴巴集團旗下的通義實驗室自主研發的超大規模語言模型。我可以協助你回答問題、創作文字，比如寫故事、寫公文、寫郵件、寫劇本、邏輯推理、編程等等，還能表達觀點，玩遊戲等。如果你有任何問題或需要協助，歡迎隨時告訴我！

import java.util.Arrays;
import java.lang.System;
import com.alibaba.dashscope.aigc.generation.Generation;
import com.alibaba.dashscope.aigc.generation.GenerationParam;
import com.alibaba.dashscope.aigc.generation.GenerationResult;
import com.alibaba.dashscope.common.Message;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.InputRequiredException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.protocol.Protocol;
import com.alibaba.dashscope.utils.JsonUtils;

public class Main {
    public static GenerationResult callWithMessage() throws ApiException, NoApiKeyException, InputRequiredException {
        // 各地區的base_url不同
        Generation gen = new Generation(Protocol.HTTP.getValue(), "https://dashscope-intl.aliyuncs.com/api/v1");
        Message systemMsg = Message.builder()
                .role(Role.SYSTEM.getValue())
                .content("You are a helpful assistant.")
                .build();
        Message userMsg = Message.builder()
                .role(Role.USER.getValue())
                .content("你是誰？")
                .build();
        GenerationParam param = GenerationParam.builder()
                // 各地區的API-Key不同。擷取API Key：https://www.alibabacloud.com/help/zh/model-studio/get-api-key
                // 若沒有配置環境變數，請用阿里雲百鍊API Key將下行替換為：.apiKey("sk-xxx")
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                // Qwen3.5系列需要使用多模態介面，直接替換模型會導致報錯
                .model("qwen-plus")
                .messages(Arrays.asList(systemMsg, userMsg))
                .resultFormat(GenerationParam.ResultFormat.MESSAGE)
                .build();
        return gen.call(param);
    }
    public static void main(String[] args) {
        try {
            GenerationResult result = callWithMessage();
            System.out.println(result.getOutput().getChoices().get(0).getMessage().getContent());
            // 如需查看完整響應，請取消下列注釋
            // System.out.println(JsonUtils.toJson(result));
        } catch (ApiException | NoApiKeyException | InputRequiredException e) {
            System.err.println("錯誤資訊："+e.getMessage());
            System.out.println("請參考文檔：https://www.alibabacloud.com/help/zh/model-studio/error-code");
        }
    }
}

返回結果

我是千問，阿里巴巴集團旗下的通義實驗室自主研發的超大規模語言模型。我可以協助你回答問題、創作文字，比如寫故事、寫公文、寫郵件、寫劇本、邏輯推理、編程等等，還能表達觀點，玩遊戲等。如果你有任何問題或需要協助，歡迎隨時告訴我！

// 需要 Node.js v18+
// 若沒有配置環境變數，請用阿里雲百鍊API Key將下行替換為：const apiKey = "sk-xxx";
const apiKey = process.env.DASHSCOPE_API_KEY;

const data = {
    // Qwen3.5系列需要使用多模態介面，直接替換模型會導致報錯
    model: "qwen-plus",
    input: {
        messages: [
            {
                role: "system",
                content: "You are a helpful assistant."
            },
            {
                role: "user",
                content: "你是誰？"
            }
        ]
    },
    parameters: {
        result_format: "message"
    }
};

async function callApi() {
    try {
            // 各地區的base_url不同
            const response = await fetch('https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/text-generation/generation', {
            method: 'POST',
            headers: {
                'Authorization': `Bearer ${apiKey}`,
                'Content-Type': 'application/json'
            },
            body: JSON.stringify(data)
        });

        const result = await response.json();
        console.log(result.output.choices[0].message.content);
        // 如需查看完整響應，請取消下列注釋
        // console.log(JSON.stringify(result));
    } catch (error) {
        // 更多錯誤資訊，請參考文檔：https://www.alibabacloud.com/help/zh/model-studio/error-code
        console.error('調用失敗:', error.message);
    }
}

callApi();

返回結果

我是千問，阿里巴巴集團旗下的通義實驗室自主研發的超大規模語言模型。我可以協助你回答問題、創作文字，比如寫故事、寫公文、寫郵件、寫劇本、邏輯推理、編程等等，還能表達觀點，玩遊戲等。如果你有任何問題或需要協助，歡迎隨時告訴我！

package main

import (
	"bytes"
	"encoding/json"
	"fmt"
	"io"
	"log"
	"net/http"
	"os"
)

func main() {
	requestBody := map[string]interface{}{
		// Qwen3.5系列需要使用多模態介面，直接替換模型會導致報錯
		"model": "qwen-plus",
		"input": map[string]interface{}{
			"messages": []map[string]string{
				{
					"role":    "system",
					"content": "You are a helpful assistant.",
				},
				{
					"role":    "user",
					"content": "你是誰？",
				},
			},
		},
		"parameters": map[string]string{
			"result_format": "message",
		},
	}

	// 序列化為 JSON
	jsonData, _ := json.Marshal(requestBody)

	// 建立 HTTP 用戶端和請求
	client := &http.Client{}
	// 各地區的base_url不同
	req, _ := http.NewRequest("POST", "https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/text-generation/generation", bytes.NewBuffer(jsonData))

	// 佈建要求頭
	apiKey := os.Getenv("DASHSCOPE_API_KEY")
	req.Header.Set("Authorization", "Bearer "+apiKey)
	req.Header.Set("Content-Type", "application/json")

	// 發送請求
	resp, err := client.Do(req)
	if err != nil {
		log.Fatal(err)
	}
	defer resp.Body.Close()

	// 讀取響應體
	bodyText, _ := io.ReadAll(resp.Body)

	// 解析JSON並輸出content內容
	var result map[string]interface{}
	json.Unmarshal(bodyText, &result)
	content := result["output"].(map[string]interface{})["choices"].([]interface{})[0].(map[string]interface{})["message"].(map[string]interface{})["content"].(string)
	fmt.Println(content)

	// 如需查看完整響應，請取消下列注釋
	// fmt.Printf("%s\n", bodyText)
}

返回結果

我是千問，阿里巴巴集團旗下的通義實驗室自主研發的超大規模語言模型。我可以協助你回答問題、創作文字，比如寫故事、寫公文、寫郵件、寫劇本、邏輯推理、編程等等，還能表達觀點，玩遊戲等。如果你有任何問題或需要協助，歡迎隨時告訴我！

using System.Net.Http.Headers;
using System.Text;

class Program
{
    private static readonly HttpClient httpClient = new HttpClient();

    static async Task Main(string[] args)
    {
        // 各地區的API-Key不同。擷取API Key：https://www.alibabacloud.com/help/zh/model-studio/get-api-key
        // 若沒有配置環境變數，請用阿里雲百鍊API Key將下行替換為：string? apiKey = "sk-xxx";
        string? apiKey = Environment.GetEnvironmentVariable("DASHSCOPE_API_KEY");
        // 佈建要求 URL 和內容
        // 各地區的base_url不同
        string url = "https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/text-generation/generation";
        // Qwen3.5系列需要使用多模態介面，直接替換模型會導致報錯
        string jsonContent = @"{
            ""model"": ""qwen-plus"",
            ""input"": {
                ""messages"": [
                    {
                        ""role"": ""system"",
                        ""content"": ""You are a helpful assistant.""
                    },
                    {
                        ""role"": ""user"",
                        ""content"": ""你是誰？""
                    }
                ]
            },
            ""parameters"": {
                ""result_format"": ""message""
            }
        }";

        // 發送請求並擷取響應
        string result = await SendPostRequestAsync(url, jsonContent, apiKey);
        var jsonResult = System.Text.Json.JsonDocument.Parse(result);
        var content = jsonResult.RootElement.GetProperty("output").GetProperty("choices")[0].GetProperty("message").GetProperty("content").GetString();
        Console.WriteLine(content);
        // 如需查看完整響應，請取消下列注釋
        // Console.WriteLine(result);
    }

    private static async Task<string> SendPostRequestAsync(string url, string jsonContent, string apiKey)
    {
        using (var content = new StringContent(jsonContent, Encoding.UTF8, "application/json"))
        {
            // 佈建要求頭
            httpClient.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);
            httpClient.DefaultRequestHeaders.Accept.Add(new MediaTypeWithQualityHeaderValue("application/json"));

            // 發送請求並擷取響應
            HttpResponseMessage response = await httpClient.PostAsync(url, content);

            // 處理響應
            if (response.IsSuccessStatusCode)
            {
                return await response.Content.ReadAsStringAsync();
            }
            else
            {
                return $"請求失敗: {response.StatusCode}";
            }
        }
    }
}

返回結果

{
    "output": {
        "choices": [
            {
                "finish_reason": "stop",
                "message": {
                    "role": "assistant",
                    "content": "我是千問，阿里巴巴集團旗下的通義實驗室自主研發的超大規模語言模型。我可以協助你回答問題、創作文字，比如寫故事、寫公文、寫郵件、寫劇本、邏輯推理、編程等等，還能表達觀點，玩遊戲等。如果你有任何問題或需要協助，歡迎隨時告訴我！"
                }
            }
        ]
    },
    "usage": {
        "total_tokens": 92,
        "output_tokens": 66,
        "input_tokens": 26
    },
    "request_id": "09dceb20-ae2e-999b-85f9-xxxxxx"
}

<?php
// 各地區的base_url不同
$url = "https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/text-generation/generation";
// 擷取API Key：https://www.alibabacloud.com/help/zh/model-studio/get-api-key
$apiKey = getenv('DASHSCOPE_API_KEY');

$data = [
    // Qwen3.5系列需要使用多模態介面，直接替換模型會導致報錯
    "model" => "qwen-plus",
    "input" => [
        "messages" => [
            [
                "role" => "system",
                "content" => "You are a helpful assistant."
            ],
            [
                "role" => "user",
                "content" => "你是誰？"
            ]
        ]
    ],
    "parameters" => [
        "result_format" => "message"
    ]
];

$jsonData = json_encode($data);

$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, $jsonData);
curl_setopt($ch, CURLOPT_HTTPHEADER, [
    "Authorization: Bearer $apiKey",
    "Content-Type: application/json"
]);

$response = curl_exec($ch);
$httpCode = curl_getinfo($ch, CURLINFO_HTTP_CODE);

if ($httpCode == 200) {
    $jsonResult = json_decode($response, true);
    $content = $jsonResult['output']['choices'][0]['message']['content'];
    echo $content;
    // 如需查看完整響應，請取消下列注釋
    // echo "模型響應: " . $response;
} else {
    echo "請求錯誤: " . $httpCode . " - " . $response;
}

curl_close($ch);
?>

返回結果

我是千問，阿里巴巴集團旗下的通義實驗室自主研發的超大規模語言模型。我可以協助你回答問題、創作文字，比如寫故事、寫公文、寫郵件、寫劇本、邏輯推理、編程等等，還能表達觀點，玩遊戲等。如果你有任何問題或需要協助，歡迎隨時告訴我！