Alibaba Cloud Model Studio:Overview of text generation models

import os
from openai import OpenAI

try:
    client = OpenAI(
        # Each region has a different API key. To get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
        # If you have not configured the environment variable, replace the following line with api_key="sk-xxx", using your Model Studio API key.
        api_key=os.getenv("DASHSCOPE_API_KEY"),
        # The Responses API currently supports only the Singapore region.
        base_url="https://dashscope-intl.aliyuncs.com/api/v2/apps/protocols/compatible-mode/v1",
    )

    response = client.responses.create(
        # The Responses API currently supports only the qwen3-max-2026-01-23 model.
        model="qwen3-max-2026-01-23",
        input="Hello, please introduce yourself in one sentence."
    )

    # Get model response
    print(response.output_text)
except Exception as e:
    print(f"Error message: {e}")
    print("For more information, see https://www.alibabacloud.com/help/en/model-studio/error-code")

Response

Hello! I'm Qwen, a large language model developed by Alibaba Cloud's Tongyi Lab, designed to assist with answering questions, creating content, coding, and more—always up-to-date as of January 27, 2026.

// Requires Node.js v18+ and must be run in an ES Module environment.
import OpenAI from "openai";

const openai = new OpenAI({
    // Each region has a different API key. To get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
    // If you have not configured the environment variable, replace the following line with apiKey: "sk-xxx", using your Model Studio API key.
    apiKey: process.env.DASHSCOPE_API_KEY,
    // The Responses API currently supports only the Singapore region.
    baseURL: "https://dashscope-intl.aliyuncs.com/api/v2/apps/protocols/compatible-mode/v1"
});

async function main() {
    try {
        const response = await openai.responses.create({
            // The Responses API currently supports only the qwen3-max-2026-01-23 model.
            model: "qwen3-max-2026-01-23",
            input: "Hello, please introduce yourself in one sentence."
        });

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

main();

Response

I am Qwen, a large-scale language model independently developed by the Tongyi Lab of Alibaba Group.

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-max-2026-01-23",
    "input": "Hello, please introduce yourself in one sentence."
}'

Response

{
    "id": "351e34cc-5f75-483b-b948-35be954dbxxx",
    "created_at": 1769408284,
    "model": "qwen3-max-2026-01-23",
    "object": "response",
    "status": "completed",
    "output": [
        {
            "type": "message",
            "id": "msg_59a7339e-77d0-4451-8f51-75fb8dbefxxx",
            "role": "assistant",
            "status": "completed",
            "content": [
                {
                    "type": "output_text",
                    "text": "I am Qwen, a large-scale language model independently developed by the Tongyi Lab of Alibaba Group."
                }
            ]
        }
    ],
    "usage": {
        "input_tokens": 39,
        "output_tokens": 46,
        "total_tokens": 85
    }
}

import os
from openai import OpenAI

try:
    client = OpenAI(
        # Each region has a different API key. To get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
        # If you have not configured the environment variable, replace the following line with api_key="sk-xxx", using your Model Studio API key.
        api_key=os.getenv("DASHSCOPE_API_KEY"),
        # Each region has a different base_url.
        base_url="https://dashscope-intl.aliyuncs.com/compatible-mode/v1",
    )

    completion = client.chat.completions.create(
        # For a list of models, see https://www.alibabacloud.com/help/en/model-studio/models
        model="qwen-plus",
        messages=[
            {"role": "system", "content": "You are a helpful assistant."},
            {"role": "user", "content": "Who are you?"},
        ],
    )
    print(completion.choices[0].message.content)
    # To view the full response, uncomment the following line.
    # print(completion.model_dump_json())
except Exception as e:
    print(f"Error message: {e}")
    print("For more information, see https://www.alibabacloud.com/help/en/model-studio/error-code")

Response

I am Qwen, a large-scale language model independently developed by the Tongyi Lab of Alibaba Group. I can help you answer questions and create text, such as writing stories, official documents, emails, and scripts, along with perform logical reasoning, programming, and more. I can also express opinions and play games. If you have any questions or need help, feel free to ask me at any time!

// We recommend using OpenAI Java SDK version 3.5.0 or later.
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()
                    // If you have not configured the environment variable, replace the following line with .apiKey("sk-xxx"), using your Model Studio API key.
                    // Each region has a different API key. To get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
                    .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                    // Each region has a different base_url.
                    .baseUrl("https://dashscope-intl.aliyuncs.com/compatible-mode/v1")
                    .build();

            // Create ChatCompletion parameters.
            ChatCompletionCreateParams params = ChatCompletionCreateParams.builder()
                    .model("qwen-plus")  // Specify the model.
                    .addSystemMessage("You are a helpful assistant.")
                    .addUserMessage("Who are you?")
                    .build();

            // Send the request and get the response.
            ChatCompletion chatCompletion = client.chat().completions().create(params);
            String content = chatCompletion.choices().get(0).message().content().orElse("No valid content returned");
            System.out.println(content);
            
        } catch (Exception e) {
            System.err.println("Error message: " + e.getMessage());
            System.out.println("For more information, see https://www.alibabacloud.com/help/en/model-studio/error-code");
        }
    }
}

Response

I am Qwen, a large-scale language model independently developed by the Tongyi Lab of Alibaba Group. I can help you answer questions and create text, such as writing stories, official documents, emails, and scripts, along with perform logical reasoning, programming, and more. I can also express opinions and play games. If you have any questions or need help, feel free to ask me at any time!

// Requires Node.js v18+ and must be run in an ES Module environment.
import OpenAI from "openai";

const openai = new OpenAI(
    {
        // Each region has a different API key. To get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
        // If you have not configured the environment variable, replace the following line with apiKey: "sk-xxx", using your Model Studio API key.
        apiKey: process.env.DASHSCOPE_API_KEY,
        // Each region has a different base_url.
        baseURL: "https://dashscope-intl.aliyuncs.com/compatible-mode/v1"
        
    }
);
const completion = await openai.chat.completions.create({
    model: "qwen-plus",  // For a list of models, see https://www.alibabacloud.com/help/en/model-studio/models
    messages: [
        { role: "system", content: "You are a helpful assistant." },
        { role: "user", content: "Who are you?" }
    ],
});
console.log(completion.choices[0].message.content);
// To view the full response, uncomment the following line.
// console.log(JSON.stringify(completion, null, 4));

Response

I am Qwen, a large-scale language model independently developed by the Tongyi Lab of Alibaba Group. I can help you answer questions and create text, such as writing stories, official documents, emails, and scripts, along with perform logical reasoning, programming, and more. I can also express opinions and play games. If you have any questions or need help, feel free to ask me at any time!

// OpenAI Go SDK version v2.4.0 or later.
package main

import (
	"context"
	// To view the full response, uncomment the line below and at the end of the code.
	// "encoding/json"
	"fmt"
	"os"

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

func main() {
	// If you have not configured the environment variable, replace the following line with: apiKey := "sk-xxx", using your Model Studio API key.
	apiKey := os.Getenv("DASHSCOPE_API_KEY")
	client := openai.NewClient(
		option.WithAPIKey(apiKey),
		// Each region has a different API key. To get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
		// Each region has a different base_url.
		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("Who are you?"),
			},
			Model: "qwen-plus",
		},
	)

	if err != nil {
		fmt.Fprintf(os.Stderr, "Request failed: %v\n", err)
		// For more error information, see https://www.alibabacloud.com/help/en/model-studio/error-code
		os.Exit(1)
	}

	if len(chatCompletion.Choices) > 0 {
		fmt.Println(chatCompletion.Choices[0].Message.Content)
	}
	// To view the full response, uncomment the following lines.
	// jsonData, _ := json.MarshalIndent(chatCompletion, "", "  ")
	// fmt.Println(string(jsonData))

}

Response

I am Qwen, a large-scale language model independently developed by the Tongyi Lab of Alibaba Group. I can help you answer questions and create text, such as writing stories, official documents, emails, and scripts, along with perform logical reasoning, programming, and more. I can also express opinions and play games. If you have any questions or need help, feel free to ask me at any time!

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)
    {
        // If you have not configured the environment variable, replace the following line with: string? apiKey = "sk-xxx"; using your Model Studio API key.
        string? apiKey = Environment.GetEnvironmentVariable("DASHSCOPE_API_KEY");
        // Each region has a different base_url.
        string url = "https://dashscope-intl.aliyuncs.com/compatible-mode/v1/chat/completions";
        // For a list of models, see https://www.alibabacloud.com/help/en/model-studio/getting-started/models
        string jsonContent = @"{
            ""model"": ""qwen-plus"",
            ""messages"": [
                {
                    ""role"": ""system"",
                    ""content"": ""You are a helpful assistant.""
                },
                {
                    ""role"": ""user"", 
                    ""content"": ""Who are you?""
                }
            ]
        }";

        // Send the request and get the response.
        string result = await SendPostRequestAsync(url, jsonContent, apiKey);
        
        // To view the full response, uncomment the following line.
        // Console.WriteLine(result);

        // Parse the JSON and output only the content part.
        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
            {   
                // For more error information, see https://www.alibabacloud.com/help/en/model-studio/error-code
                return $"Request failed: {response.StatusCode}";
            }
        }
    }
}

Response

I am Qwen, a large-scale language model independently developed by the Tongyi Lab of Alibaba Group. I can help you answer questions and create text, such as writing stories, official documents, emails, and scripts, along with perform logical reasoning, programming, and more. I can also express opinions and play games. If you have any questions or need help, feel free to ask me at any time!

<?php
// Set the request URL.
// Each region has a different base_url.
$url = 'https://dashscope-intl.aliyuncs.com/compatible-mode/v1/chat/completions';
// Each region has a different API key. To get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
// If you have not configured the environment variable, replace the following line with: $apiKey = "sk-xxx"; using your Model Studio API key.
$apiKey = getenv('DASHSCOPE_API_KEY');
// Set the request headers.
$headers = [
    'Authorization: Bearer '.$apiKey,
    'Content-Type: application/json'
];
// Set the request body.
$data = [
    "model" => "qwen-plus",
    "messages" => [
        [
            "role" => "system",
            "content" => "You are a helpful assistant."
        ],
        [
            "role" => "user",
            "content" => "Who are you?"
        ]
    ]
];
// Initialize the cURL session.
$ch = curl_init();
// Set the cURL options.
curl_setopt($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);
// Execute the cURL session.
$response = curl_exec($ch);
// Check for errors.
// For more error information, see https://www.alibabacloud.com/help/en/model-studio/error-code
if (curl_errno($ch)) {
    echo 'Curl error: ' . curl_error($ch);
}
// Close the cURL resource.
curl_close($ch);
// Output the response result.
$dataObject = json_decode($response);
$content = $dataObject->choices[0]->message->content;
echo $content;
// To view the full response, uncomment the following line.
//echo $response;
?>

Response

I am Qwen, a large-scale language model independently developed by the Tongyi Lab of Alibaba Group. I can help you answer questions and create text, such as writing stories, official documents, emails, and scripts, along with perform logical reasoning, programming, and more. I can also express opinions and play games. If you have any questions or need help, feel free to ask me at any time!

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": "qwen-plus",
    "messages": [
        {
            "role": "system",
            "content": "You are a helpful assistant."
        },
        {
            "role": "user", 
            "content": "Who are you?"
        }
    ]
}'

Response

{
    "choices": [
        {
            "message": {
                "role": "assistant",
                "content": "I am Qwen, a large-scale language model independently developed by the Tongyi Lab of Alibaba Group. I can help you answer questions and create text, such as writing stories, official documents, emails, and scripts, along with perform logical reasoning, programming, and more. I can also express opinions and play games. If you have any questions or need help, feel free to ask me at any time!"
            },
            "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": "qwen-plus",
    "id": "chatcmpl-81951b98-28b8-9659-ab07-xxxxxx"
}

import json
import os
from dashscope import Generation
import dashscope

# Each region has a different base_url.
dashscope.base_http_api_url = "https://dashscope-intl.aliyuncs.com/api/v1"

messages = [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Who are you?"},
]
response = Generation.call(
    # Each region has a different API key. To get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
    # If you have not configured the environment variable, replace the following line with: api_key = "sk-xxx", using your Model Studio API key.
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    model="qwen-plus",
    messages=messages,
    result_format="message",
)

if response.status_code == 200:
    print(response.output.choices[0].message.content)
    # To view the full response, uncomment the following line.
    # print(json.dumps(response, default=lambda o: o.__dict__, indent=4))
else:
    print(f"HTTP return code: {response.status_code}")
    print(f"Error code: {response.code}")
    print(f"Error message: {response.message}")
    print("For more information, see https://www.alibabacloud.com/help/en/model-studio/error-code")

Response

I am Qwen, a large-scale language model independently developed by the Tongyi Lab of Alibaba Group. I can help you answer questions and create text, such as writing stories, official documents, emails, and scripts, along with perform logical reasoning, programming, and more. I can also express opinions and play games. If you have any questions or need help, feel free to ask me at any time!

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 {
        // Each region has a different base_url.
        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("Who are you?")
                .build();
        GenerationParam param = GenerationParam.builder()
                // Each region has a different API key. To get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
                // If you have not configured the environment variable, replace the following line with: .apiKey("sk-xxx"), using your Model Studio API key.
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .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());
            // To view the full response, uncomment the following line.
            // System.out.println(JsonUtils.toJson(result));
        } catch (ApiException | NoApiKeyException | InputRequiredException e) {
            System.err.println("Error message: "+e.getMessage());
            System.out.println("For more information, see https://www.alibabacloud.com/help/en/model-studio/error-code");
        }
    }
}

Response

I am Qwen, a large-scale language model independently developed by the Tongyi Lab of Alibaba Group. I can help you answer questions and create text, such as writing stories, official documents, emails, and scripts, along with perform logical reasoning, programming, and more. I can also express opinions and play games. If you have any questions or need help, feel free to ask me at any time!

// Requires Node.js v18+.
// If you have not configured the environment variable, replace the following line with: const apiKey = "sk-xxx"; using your Model Studio API key.
const apiKey = process.env.DASHSCOPE_API_KEY;

const data = {
    model: "qwen-plus",
    input: {
        messages: [
            {
                role: "system",
                content: "You are a helpful assistant."
            },
            {
                role: "user",
                content: "Who are you?"
            }
        ]
    },
    parameters: {
        result_format: "message"
    }
};

async function callApi() {
    try {
            // Each region has a different base_url.
            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);
        // To view the full response, uncomment the following line.
        // console.log(JSON.stringify(result));
    } catch (error) {
        // For more error information, see https://www.alibabacloud.com/help/en/model-studio/error-code
        console.error('Call failed:', error.message);
    }
}

callApi();

Response

I am Qwen, a large-scale language model independently developed by the Tongyi Lab of Alibaba Group. I can help you answer questions and create text, such as writing stories, official documents, emails, and scripts, along with perform logical reasoning, programming, and more. I can also express opinions and play games. If you have any questions or need help, feel free to ask me at any time!

package main

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

func main() {
	requestBody := map[string]interface{}{
		"model": "qwen-plus",
		"input": map[string]interface{}{
			"messages": []map[string]string{
				{
					"role":    "system",
					"content": "You are a helpful assistant.",
				},
				{
					"role":    "user",
					"content": "Who are you?",
				},
			},
		},
		"parameters": map[string]string{
			"result_format": "message",
		},
	}

	// Serialize to JSON.
	jsonData, _ := json.Marshal(requestBody)

	// Create an HTTP client and request.
	client := &http.Client{}
	// Each region has a different base_url.
	req, _ := http.NewRequest("POST", "https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/text-generation/generation", bytes.NewBuffer(jsonData))

	// Set request headers.
	apiKey := os.Getenv("DASHSCOPE_API_KEY")
	req.Header.Set("Authorization", "Bearer "+apiKey)
	req.Header.Set("Content-Type", "application/json")

	// Send the request.
	resp, err := client.Do(req)
	if err != nil {
		log.Fatal(err)
	}
	defer resp.Body.Close()

	// Read the response body.
	bodyText, _ := io.ReadAll(resp.Body)

	// Parse the JSON and output the content.
	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)

	// To view the full response, uncomment the following line.
	// fmt.Printf("%s\n", bodyText)
}

Response

I am Qwen, a large-scale language model independently developed by the Tongyi Lab of Alibaba Group. I can help you answer questions and create text, such as writing stories, official documents, emails, and scripts, along with perform logical reasoning, programming, and more. I can also express opinions and play games. If you have any questions or need help, feel free to ask me at any time!

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

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

    static async Task Main(string[] args)
    {
        // Each region has a different API key. To get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
        // If you have not configured the environment variable, replace the following line with: string? apiKey = "sk-xxx"; using your Model Studio API key.
        string? apiKey = Environment.GetEnvironmentVariable("DASHSCOPE_API_KEY");
        // Set the request URL and content.
        // Each region has a different base_url.
        string url = "https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/text-generation/generation";
        string jsonContent = @"{
            ""model"": ""qwen-plus"",
            ""input"": {
                ""messages"": [
                    {
                        ""role"": ""system"",
                        ""content"": ""You are a helpful assistant.""
                    },
                    {
                        ""role"": ""user"",
                        ""content"": ""Who are you?""
                    }
                ]
            },
            ""parameters"": {
                ""result_format"": ""message""
            }
        }";

        // Send the request and get the response.
        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);
        // To view the full response, uncomment the following line.
        // 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"))
        {
            // Set request headers.
            httpClient.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);
            httpClient.DefaultRequestHeaders.Accept.Add(new MediaTypeWithQualityHeaderValue("application/json"));

            // Send the request and get the response.
            HttpResponseMessage response = await httpClient.PostAsync(url, content);

            // Handle the response.
            if (response.IsSuccessStatusCode)
            {
                return await response.Content.ReadAsStringAsync();
            }
            else
            {
                return $"Request failed: {response.StatusCode}";
            }
        }
    }
}

Response

{
    "output": {
        "choices": [
            {
                "finish_reason": "stop",
                "message": {
                    "role": "assistant",
                    "content": "I am Qwen, a large-scale language model independently developed by the Tongyi Lab of Alibaba Group. I can help you answer questions and create text, such as writing stories, official documents, emails, and scripts, along with perform logical reasoning, programming, and more. I can also express opinions and play games. If you have any questions or need help, feel free to ask me at any time!"
                }
            }
        ]
    },
    "usage": {
        "total_tokens": 92,
        "output_tokens": 66,
        "input_tokens": 26
    },
    "request_id": "09dceb20-ae2e-999b-85f9-xxxxxx"
}

<?php
// Each region has a different base_url.
$url = "https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/text-generation/generation";
// To get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
$apiKey = getenv('DASHSCOPE_API_KEY');

$data = [
    "model" => "qwen-plus",
    "input" => [
        "messages" => [
            [
                "role" => "system",
                "content" => "You are a helpful assistant."
            ],
            [
                "role" => "user",
                "content" => "Who are you?"
            ]
        ]
    ],
    "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;
    // To view the full response, uncomment the following line.
    // echo "Model response: " . $response;
} else {
    echo "Request error: " . $httpCode . " - " . $response;
}

curl_close($ch);
?>

Response

I am Qwen, a large-scale language model independently developed by the Tongyi Lab of Alibaba Group. I can help you answer questions and create text, such as writing stories, official documents, emails, and scripts, along with perform logical reasoning, programming, and more. I can also express opinions and play games. If you have any questions or need help, feel free to ask me at any time!