大模型服务平台百炼：概述

import os
from openai import OpenAI

try:
    client = OpenAI(
        # 各地域的API Key不同。获取API Key：https://www.alibabacloud.com/help/zh/model-studio/get-api-key
        # 若没有配置环境变量，请用阿里云百炼API Key将下行替换为：api_key="sk-xxx",
        api_key=os.getenv("DASHSCOPE_API_KEY"),
        # 各地域配置不同，请根据实际地域修改
        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"错误信息：{e}")
    print("请参考文档：https://www.alibabacloud.com/help/zh/model-studio/error-code")

返回结果

返回结果主要包含以下字段：

• id：响应 ID。

• output：输出列表。包含 reasoning（思考过程）和 message（回复内容）。

  reasoning仅在开启深度思考时返回（如 Qwen3.5 系列默认开启）。

• usage：Token 用量统计。

回复内容示例如下，完整响应请参考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 环境下运行
import OpenAI from "openai";

const openai = new OpenAI({
    // 各地域的API Key不同。获取API Key：https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    // 若没有配置环境变量，请用阿里云百炼API Key将下行替换为：apiKey: "sk-xxx",
    apiKey: process.env.DASHSCOPE_API_KEY,
    // 各地域配置不同，请根据实际地域修改
    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();

返回结果

返回结果主要包含以下字段：

• id：响应 ID。

• output：输出列表。包含 reasoning（思考过程）和 message（回复内容）。

  reasoning仅在开启深度思考时返回（如 Qwen3.5 系列默认开启）。

• usage：Token 用量统计。

回复内容示例如下，完整响应请参考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!

# 各地域配置不同，请根据实际地域修改
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
}'

返回结果

{
    "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(
        # 各地域的API Key不同。获取API Key：https://www.alibabacloud.com/help/zh/model-studio/get-api-key
        # 若没有配置环境变量，请用阿里云百炼API Key将下行替换为：api_key="sk-xxx",
        api_key=os.getenv("DASHSCOPE_API_KEY"),
        # 各地域的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": "你是谁？"},
        ],
    )
    print(completion.choices[0].message.content)
    # 如需查看完整响应，请取消下列注释
    # print(completion.model_dump_json())
except Exception as e:
    print(f"错误信息：{e}")
    print("请参考文档：https://www.alibabacloud.com/help/zh/model-studio/error-code")

返回结果

我是千问，阿里巴巴集团旗下的通义实验室自主研发的超大规模语言模型。我可以帮助你回答问题、创作文字，比如写故事、写公文、写邮件、写剧本、逻辑推理、编程等等，还能表达观点，玩游戏等。如果你有任何问题或需要帮助，欢迎随时告诉我！

// 建议 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()
                    // 若没有配置环境变量，请用阿里云百炼API Key将下行替换为.apiKey("sk-xxx")
                    // 各地域的API Key不同。获取API Key：https://www.alibabacloud.com/help/zh/model-studio/get-api-key
                    .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                    // 各地域的base_url不同
                    .baseUrl("https://dashscope-intl.aliyuncs.com/compatible-mode/v1")
                    .build();

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

            // 发送请求并获取响应
            ChatCompletion chatCompletion = client.chat().completions().create(params);
            String content = chatCompletion.choices().get(0).message().content().orElse("未返回有效内容");
            System.out.println(content);
            
        } catch (Exception e) {
            System.err.println("错误信息：" + e.getMessage());
            System.out.println("请参考文档：https://www.alibabacloud.com/help/zh/model-studio/error-code");
        }
    }
}

返回结果

我是千问，阿里巴巴集团旗下的通义实验室自主研发的超大规模语言模型。我可以帮助你回答问题、创作文字，比如写故事、写公文、写邮件、写剧本、逻辑推理、编程等等，还能表达观点，玩游戏等。如果你有任何问题或需要帮助，欢迎随时告诉我！

// 需要 Node.js v18+，需在 ES Module 环境下运行
import OpenAI from "openai";

const openai = new OpenAI(
    {
        // 各地域的API Key不同。获取API Key：https://www.alibabacloud.com/help/zh/model-studio/get-api-key
        // 若没有配置环境变量，请用阿里云百炼API Key将下行替换为：apiKey: "sk-xxx",
        apiKey: process.env.DASHSCOPE_API_KEY,
        // 各地域的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: "你是谁？" }
    ],
});
console.log(completion.choices[0].message.content);
// 如需查看完整响应，请取消下列注释
// console.log(JSON.stringify(completion, null, 4));

返回结果

我是千问，阿里巴巴集团旗下的通义实验室自主研发的超大规模语言模型。我可以帮助你回答问题、创作文字，比如写故事、写公文、写邮件、写剧本、逻辑推理、编程等等，还能表达观点，玩游戏等。如果你有任何问题或需要帮助，欢迎随时告诉我！

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

import (
	"context"
	// 如需查看完整响应，请取消下方及代码末尾的注释
	// "encoding/json"
	"fmt"
	"os"

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

func main() {
	// 若没有配置环境变量，请用阿里云百炼API Key将下行替换为：apiKey := "sk-xxx"
	apiKey := os.Getenv("DASHSCOPE_API_KEY")
	client := openai.NewClient(
		option.WithAPIKey(apiKey),
		// 各地域的API Key不同。获取API Key：https://www.alibabacloud.com/help/zh/model-studio/get-api-key
		// 各地域的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("你是谁？"),
			},
			Model: "qwen3.5-plus",
		},
	)

	if err != nil {
		fmt.Fprintf(os.Stderr, "请求失败: %v\n", err)
		// 更多错误信息，请参考文档：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)
	}
	// 如需查看完整响应，请取消下列注释
	// jsonData, _ := json.MarshalIndent(chatCompletion, "", "  ")
	// fmt.Println(string(jsonData))

}

返回结果

我是千问，阿里巴巴集团旗下的通义实验室自主研发的超大规模语言模型。我可以帮助你回答问题、创作文字，比如写故事、写公文、写邮件、写剧本、逻辑推理、编程等等，还能表达观点，玩游戏等。如果你有任何问题或需要帮助，欢迎随时告诉我！

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)
    {
        // 若没有配置环境变量，请用阿里云百炼API Key将下行替换为：string? apiKey = "sk-xxx";
        string? apiKey = Environment.GetEnvironmentVariable("DASHSCOPE_API_KEY");
        // 各地域的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"": ""你是谁？""
                }
            ]
        }";

        // 发送请求并获取响应
        string result = await SendPostRequestAsync(url, jsonContent, apiKey);
        
        // 如需查看完整响应，请取消下列注释
        // Console.WriteLine(result);

        // 解析JSON并只输出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
            {   
                // 更多错误信息，请参考文档：https://www.alibabacloud.com/help/zh/model-studio/error-code
                return $"请求失败: {response.StatusCode}";
            }
        }
    }
}

返回结果

我是千问，阿里巴巴集团旗下的通义实验室自主研发的超大规模语言模型。我可以帮助你回答问题、创作文字，比如写故事、写公文、写邮件、写剧本、逻辑推理、编程等等，还能表达观点，玩游戏等。如果你有任何问题或需要帮助，欢迎随时告诉我！

<?php
// 设置请求的URL
// 各地域的base_url不同
$url = 'https://dashscope-intl.aliyuncs.com/compatible-mode/v1/chat/completions';
// 各地域的API-Key不同。获取API Key：https://www.alibabacloud.com/help/zh/model-studio/get-api-key
// 若没有配置环境变量，请用阿里云百炼API Key将下行替换为：$apiKey = "sk-xxx";
$apiKey = getenv('DASHSCOPE_API_KEY');
// 设置请求头
$headers = [
    'Authorization: Bearer '.$apiKey,
    'Content-Type: application/json'
];
// 设置请求体
$data = [
    "model" => "qwen3.5-plus",
    "messages" => [
        [
            "role" => "system",
            "content" => "You are a helpful assistant."
        ],
        [
            "role" => "user",
            "content" => "你是谁？"
        ]
    ]
];
// 初始化cURL会话
$ch = curl_init();
// 设置cURL选项
curl_setopt($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);
// 执行cURL会话
$response = curl_exec($ch);
// 检查是否有错误发生
// 更多错误信息，请参考文档：https://www.alibabacloud.com/help/zh/model-studio/error-code
if (curl_errno($ch)) {
    echo 'Curl error: ' . curl_error($ch);
}
// 关闭cURL资源
curl_close($ch);
// 输出响应结果
$dataObject = json_decode($response);
$content = $dataObject->choices[0]->message->content;
echo $content;
// 如需查看完整响应，请取消下列注释
//echo $response;
?>

返回结果

我是千问，阿里巴巴集团旗下的通义实验室自主研发的超大规模语言模型。我可以帮助你回答问题、创作文字，比如写故事、写公文、写邮件、写剧本、逻辑推理、编程等等，还能表达观点，玩游戏等。如果你有任何问题或需要帮助，欢迎随时告诉我！

# 各地域配置不同，请根据实际地域修改
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": "你是谁？"
        }
    ]
}'

返回结果

{
    "choices": [
        {
            "message": {
                "role": "assistant",
                "content": "我是千问，阿里巴巴集团旗下的通义实验室自主研发的超大规模语言模型。我可以帮助你回答问题、创作文字，比如写故事、写公文、写邮件、写剧本、逻辑推理、编程等等，还能表达观点，玩游戏等。如果你有任何问题或需要帮助，欢迎随时告诉我！"
            },
            "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

# 各地域的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": "你是谁？"},
]
response = Generation.call(
    # 各地域的API-Key不同。获取API Key：https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    # 若没有配置环境变量，请用阿里云百炼API Key将下行替换为：api_key = "sk-xxx",
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # Qwen3.5系列需要使用多模态接口，直接替换模型会导致报错
    model="qwen-plus",
    messages=messages,
    result_format="message",
)

if response.status_code == 200:
    print(response.output.choices[0].message.content)
    # 如需查看完整响应，请取消下列注释
    # print(json.dumps(response, default=lambda o: o.__dict__, indent=4))
else:
    print(f"HTTP返回码：{response.status_code}")
    print(f"错误码：{response.code}")
    print(f"错误信息：{response.message}")
    print("请参考文档：https://www.alibabacloud.com/help/zh/model-studio/error-code")

返回结果

我是千问，阿里巴巴集团旗下的通义实验室自主研发的超大规模语言模型。我可以帮助你回答问题、创作文字，比如写故事、写公文、写邮件、写剧本、逻辑推理、编程等等，还能表达观点，玩游戏等。如果你有任何问题或需要帮助，欢迎随时告诉我！

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 {
        // 各地域的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("你是谁？")
                .build();
        GenerationParam param = GenerationParam.builder()
                // 各地域的API-Key不同。获取API Key：https://www.alibabacloud.com/help/zh/model-studio/get-api-key
                // 若没有配置环境变量，请用阿里云百炼API Key将下行替换为：.apiKey("sk-xxx")
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                // Qwen3.5系列需要使用多模态接口，直接替换模型会导致报错
                .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());
            // 如需查看完整响应，请取消下列注释
            // System.out.println(JsonUtils.toJson(result));
        } catch (ApiException | NoApiKeyException | InputRequiredException e) {
            System.err.println("错误信息："+e.getMessage());
            System.out.println("请参考文档：https://www.alibabacloud.com/help/zh/model-studio/error-code");
        }
    }
}

返回结果

我是千问，阿里巴巴集团旗下的通义实验室自主研发的超大规模语言模型。我可以帮助你回答问题、创作文字，比如写故事、写公文、写邮件、写剧本、逻辑推理、编程等等，还能表达观点，玩游戏等。如果你有任何问题或需要帮助，欢迎随时告诉我！

// 需要 Node.js v18+
// 若没有配置环境变量，请用阿里云百炼API Key将下行替换为：const apiKey = "sk-xxx";
const apiKey = process.env.DASHSCOPE_API_KEY;

const data = {
    // Qwen3.5系列需要使用多模态接口，直接替换模型会导致报错
    model: "qwen-plus",
    input: {
        messages: [
            {
                role: "system",
                content: "You are a helpful assistant."
            },
            {
                role: "user",
                content: "你是谁？"
            }
        ]
    },
    parameters: {
        result_format: "message"
    }
};

async function callApi() {
    try {
            // 各地域的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);
        // 如需查看完整响应，请取消下列注释
        // console.log(JSON.stringify(result));
    } catch (error) {
        // 更多错误信息，请参考文档：https://www.alibabacloud.com/help/zh/model-studio/error-code
        console.error('调用失败:', error.message);
    }
}

callApi();

返回结果

我是千问，阿里巴巴集团旗下的通义实验室自主研发的超大规模语言模型。我可以帮助你回答问题、创作文字，比如写故事、写公文、写邮件、写剧本、逻辑推理、编程等等，还能表达观点，玩游戏等。如果你有任何问题或需要帮助，欢迎随时告诉我！

package main

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

func main() {
	requestBody := map[string]interface{}{
		// Qwen3.5系列需要使用多模态接口，直接替换模型会导致报错
		"model": "qwen-plus",
		"input": map[string]interface{}{
			"messages": []map[string]string{
				{
					"role":    "system",
					"content": "You are a helpful assistant.",
				},
				{
					"role":    "user",
					"content": "你是谁？",
				},
			},
		},
		"parameters": map[string]string{
			"result_format": "message",
		},
	}

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

	// 创建 HTTP 客户端和请求
	client := &http.Client{}
	// 各地域的base_url不同
	req, _ := http.NewRequest("POST", "https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/text-generation/generation", bytes.NewBuffer(jsonData))

	// 设置请求头
	apiKey := os.Getenv("DASHSCOPE_API_KEY")
	req.Header.Set("Authorization", "Bearer "+apiKey)
	req.Header.Set("Content-Type", "application/json")

	// 发送请求
	resp, err := client.Do(req)
	if err != nil {
		log.Fatal(err)
	}
	defer resp.Body.Close()

	// 读取响应体
	bodyText, _ := io.ReadAll(resp.Body)

	// 解析JSON并输出content内容
	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)

	// 如需查看完整响应，请取消下列注释
	// fmt.Printf("%s\n", bodyText)
}

返回结果

我是千问，阿里巴巴集团旗下的通义实验室自主研发的超大规模语言模型。我可以帮助你回答问题、创作文字，比如写故事、写公文、写邮件、写剧本、逻辑推理、编程等等，还能表达观点，玩游戏等。如果你有任何问题或需要帮助，欢迎随时告诉我！

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

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

    static async Task Main(string[] args)
    {
        // 各地域的API-Key不同。获取API Key：https://www.alibabacloud.com/help/zh/model-studio/get-api-key
        // 若没有配置环境变量，请用阿里云百炼API Key将下行替换为：string? apiKey = "sk-xxx";
        string? apiKey = Environment.GetEnvironmentVariable("DASHSCOPE_API_KEY");
        // 设置请求 URL 和内容
        // 各地域的base_url不同
        string url = "https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/text-generation/generation";
        // Qwen3.5系列需要使用多模态接口，直接替换模型会导致报错
        string jsonContent = @"{
            ""model"": ""qwen-plus"",
            ""input"": {
                ""messages"": [
                    {
                        ""role"": ""system"",
                        ""content"": ""You are a helpful assistant.""
                    },
                    {
                        ""role"": ""user"",
                        ""content"": ""你是谁？""
                    }
                ]
            },
            ""parameters"": {
                ""result_format"": ""message""
            }
        }";

        // 发送请求并获取响应
        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);
        // 如需查看完整响应，请取消下列注释
        // 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"))
        {
            // 设置请求头
            httpClient.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);
            httpClient.DefaultRequestHeaders.Accept.Add(new MediaTypeWithQualityHeaderValue("application/json"));

            // 发送请求并获取响应
            HttpResponseMessage response = await httpClient.PostAsync(url, content);

            // 处理响应
            if (response.IsSuccessStatusCode)
            {
                return await response.Content.ReadAsStringAsync();
            }
            else
            {
                return $"请求失败: {response.StatusCode}";
            }
        }
    }
}

返回结果

{
    "output": {
        "choices": [
            {
                "finish_reason": "stop",
                "message": {
                    "role": "assistant",
                    "content": "我是千问，阿里巴巴集团旗下的通义实验室自主研发的超大规模语言模型。我可以帮助你回答问题、创作文字，比如写故事、写公文、写邮件、写剧本、逻辑推理、编程等等，还能表达观点，玩游戏等。如果你有任何问题或需要帮助，欢迎随时告诉我！"
                }
            }
        ]
    },
    "usage": {
        "total_tokens": 92,
        "output_tokens": 66,
        "input_tokens": 26
    },
    "request_id": "09dceb20-ae2e-999b-85f9-xxxxxx"
}

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

$data = [
    // Qwen3.5系列需要使用多模态接口，直接替换模型会导致报错
    "model" => "qwen-plus",
    "input" => [
        "messages" => [
            [
                "role" => "system",
                "content" => "You are a helpful assistant."
            ],
            [
                "role" => "user",
                "content" => "你是谁？"
            ]
        ]
    ],
    "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;
    // 如需查看完整响应，请取消下列注释
    // echo "模型响应: " . $response;
} else {
    echo "请求错误: " . $httpCode . " - " . $response;
}

curl_close($ch);
?>

返回结果

我是千问，阿里巴巴集团旗下的通义实验室自主研发的超大规模语言模型。我可以帮助你回答问题、创作文字，比如写故事、写公文、写邮件、写剧本、逻辑推理、编程等等，还能表达观点，玩游戏等。如果你有任何问题或需要帮助，欢迎随时告诉我！