Alibaba Cloud Model Studio:DeepSeek

China (Beijing)

The base_url for SDK call configuration is https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/compatible-mode/v1

The HTTP request address is POST https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions

US (Virginia)

The base_url for SDK call configuration is https://{WorkspaceId}.us-east-1.maas.aliyuncs.com/compatible-mode/v1

The HTTP request address is POST https://{WorkspaceId}.us-east-1.maas.aliyuncs.com/compatible-mode/v1/chat/completions

Singapore

The base_url for SDK call configuration is https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1

The HTTP request address is POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/chat/completions

Germany (Frankfurt)

The base_url for SDK call configuration is https://{WorkspaceId}.eu-central-1.maas.aliyuncs.com/compatible-mode/v1

The HTTP request address is POST https://{WorkspaceId}.eu-central-1.maas.aliyuncs.com/compatible-mode/v1/chat/completions

Japan (Tokyo)

The base_url for SDK call configuration is https://{WorkspaceId}.ap-northeast-1.maas.aliyuncs.com/compatible-mode/v1

The HTTP request address is POST https://{WorkspaceId}.ap-northeast-1.maas.aliyuncs.com/compatible-mode/v1/chat/completions

Singapore

The base_url for SDK calls: https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1

HTTP endpoint: POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/responses

China (Beijing)

The base_url for SDK calls: https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/compatible-mode/v1

HTTP endpoint: POST https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/responses

China (Beijing)

The HTTP request address is POST https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation

The base_url for SDK call configuration is dashscope.base_http_api_url = "https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1"

US (Virginia)

The HTTP request address is POST https://{WorkspaceId}.us-east-1.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation

The base_url for SDK call configuration is dashscope.base_http_api_url = "https://{WorkspaceId}.us-east-1.maas.aliyuncs.com/api/v1"

Singapore

The HTTP request address is POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation

The base_url for SDK call configuration is dashscope.base_http_api_url = "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1"

Germany (Frankfurt)

The HTTP request address is POST https://{WorkspaceId}.eu-central-1.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation

The base_url for SDK call configuration is dashscope.base_http_api_url = "https://{WorkspaceId}.eu-central-1.maas.aliyuncs.com/api/v1"

Japan (Tokyo)

The HTTP request address is POST https://{WorkspaceId}.ap-northeast-1.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation

The base_url for SDK call configuration is dashscope.base_http_api_url = "https://{WorkspaceId}.ap-northeast-1.maas.aliyuncs.com/api/v1"

Python

Sample code

from openai import OpenAI
import os

# Initialize the OpenAI client
client = OpenAI(
    # If the environment variable is not configured, replace it with your Alibaba Cloud Model Studio API key: api_key="sk-xxx"
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # Singapore region. Replace {WorkspaceId} with your Bailian workspace ID. URLs vary by region.
    base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
)

messages = [{"role": "user", "content": "Who are you?"}]
completion = client.chat.completions.create(
    model="deepseek-v4-pro",
    messages=messages,
    # Use extra_body to set enable_thinking and enable thinking mode
    extra_body={"enable_thinking": True},
    stream=True,
    stream_options={
        "include_usage": True
    },
)

reasoning_content = ""  # Complete thinking process
answer_content = ""  # Complete response
is_answering = False  # Indicates whether the response phase has started
print("\n" + "=" * 20 + "Thinking Process" + "=" * 20 + "\n")

for chunk in completion:
    if not chunk.choices:
        print("\n" + "=" * 20 + "Token Usage" + "=" * 20 + "\n")
        print(chunk.usage)
        print("Request ID:", chunk.id)
        continue

    delta = chunk.choices[0].delta

    # Collect only the thinking content
    if hasattr(delta, "reasoning_content") and delta.reasoning_content is not None:
        if not is_answering:
            print(delta.reasoning_content, end="", flush=True)
        reasoning_content += delta.reasoning_content

    # After receiving content, start generating the response
    if hasattr(delta, "content") and delta.content:
        if not is_answering:
            print("\n" + "=" * 20 + "Complete Response" + "=" * 20 + "\n")
            is_answering = True
        print(delta.content, end="", flush=True)
        answer_content += delta.content

Response

====================Thinking Process====================
Okay, the user asked a very simple self-introduction question: "Who are you?".
I need to clarify my identity, introduce myself as DeepSeek in a concise and friendly way, mention my creator, basic features, and the help I can provide.
I can organize the answer like this: first, state my identity directly, mention I was created by the DeepSeek company, then list some key features (free, long context, file upload, etc.), and finally end with a friendly invitation, asking if I can help.
====================Complete Response====================
Hello! I am DeepSeek, an AI assistant created by the DeepSeek company.
I can help you answer various questions, create text, analyze documents, assist with programming, and more. My main features are that I am **free to use**, have a **super long context** (I can process the entire 'The Three-Body Problem' trilogy at once), and support **file uploads** and **web search** (must be enabled manually).
Is there anything I can help you with? Whether it's for study, work, or just a casual chat, I'm happy to talk with you!
====================Token Usage====================
CompletionUsage(completion_tokens=238, prompt_tokens=5, total_tokens=243, completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=None, audio_tokens=None, reasoning_tokens=93, rejected_prediction_tokens=None), prompt_tokens_details=None)
Request ID: chatcmpl-a1b2c3d4-e5f6-7890-abcd-ef1234567890

Node.js

Sample code

import OpenAI from "openai";
import process from 'process';

// Initialize the OpenAI client
const openai = new OpenAI({
    // If the environment variable is not configured, replace it with your Alibaba Cloud Model Studio API key: apiKey: "sk-xxx"
    apiKey: process.env.DASHSCOPE_API_KEY,
    // Singapore region. Replace {WorkspaceId} with your Bailian workspace ID. URLs vary by region.
    baseURL: 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1'
});

let reasoningContent = ''; // Complete thinking process
let answerContent = ''; // Complete response
let isAnswering = false; // Indicates whether the response phase has started

async function main() {
    try {
        const messages = [{ role: 'user', content: 'Who are you?' }];

        const stream = await openai.chat.completions.create({
            model: 'deepseek-v4-pro',
            messages,
            // Note: In the Node.js SDK, non-standard parameters like enable_thinking are passed as top-level properties, not within extra_body.
            enable_thinking: true,
            stream: true,
            stream_options: {
                include_usage: true
            },
        });

        console.log('\n' + '='.repeat(20) + 'Thinking Process' + '='.repeat(20) + '\n');

        for await (const chunk of stream) {
            if (!chunk.choices?.length) {
                console.log('\n' + '='.repeat(20) + 'Token Usage' + '='.repeat(20) + '\n');
                console.log(chunk.usage);
                console.log('Request ID:', chunk.id);
                continue;
            }

            const delta = chunk.choices[0].delta;

            // Collect only the thinking content
            if (delta.reasoning_content !== undefined && delta.reasoning_content !== null) {
                if (!isAnswering) {
                    process.stdout.write(delta.reasoning_content);
                }
                reasoningContent += delta.reasoning_content;
            }

            // After receiving content, start generating the response
            if (delta.content !== undefined && delta.content) {
                if (!isAnswering) {
                    console.log('\n' + '='.repeat(20) + 'Complete Response' + '='.repeat(20) + '\n');
                    isAnswering = true;
                }
                process.stdout.write(delta.content);
                answerContent += delta.content;
            }
        }
    } catch (error) {
        console.error('Error:', error);
    }
}

main();

Response

====================Thinking Process====================
Okay, the user asked a very simple self-introduction question: "Who are you?".
I need to clarify my identity, introduce myself as DeepSeek in a concise and friendly way, mention my creator, basic features, and the help I can provide.
I can organize the answer like this: first, state my identity directly, mention I was created by the DeepSeek company, then list some key features (free, long context, file upload, etc.), and finally end with a friendly invitation, asking if I can help.
====================Complete Response====================
Hello! I am DeepSeek, an AI assistant created by the DeepSeek company.
I can help you answer various questions, create text, analyze documents, assist with programming, and more. My main features are that I am **free to use**, have a **super long context** (I can process the entire 'The Three-Body Problem' trilogy at once), and support **file uploads** and **web search** (must be enabled manually).
Is there anything I can help you with? Whether it's for study, work, or just a casual chat, I'm happy to talk with you!
====================Token Usage====================
{
  prompt_tokens: 5,
  completion_tokens: 243,
  total_tokens: 248,
  completion_tokens_details: { reasoning_tokens: 83 }
}
Request ID: chatcmpl-a1b2c3d4-e5f6-7890-abcd-ef1234567890

HTTP

Sample code

# Singapore region. Replace {WorkspaceId} with your Bailian workspace ID. URLs vary by region.
curl -X POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/chat/completions \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
    "model": "deepseek-v4-pro",
    "messages": [
        {
            "role": "user",
            "content": "Who are you?"
        }
    ],
    "stream": true,
    "stream_options": {
        "include_usage": true
    },
    "enable_thinking": true
}'

Python

Sample code

import os
import dashscope
from dashscope import Generation

# Singapore region. Replace {WorkspaceId} with your Bailian workspace ID. URLs vary by region.
dashscope.base_http_api_url = "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1"

# Initialize the request parameters
messages = [{"role": "user", "content": "Who are you?"}]

completion = Generation.call(
    # If the environment variable is not configured, replace it with your Alibaba Cloud Model Studio API key: api_key="sk-xxx"
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    model="deepseek-v4-pro",
    messages=messages,
    result_format="message",  # Set the result format to message
    enable_thinking=True,
    stream=True,              # Enable streaming output
    incremental_output=True,  # Enable incremental output
)

reasoning_content = ""  # Complete thinking process
answer_content = ""     # Complete response
is_answering = False    # Indicates whether the response phase has started

print("\n" + "=" * 20 + "Thinking Process" + "=" * 20 + "\n")

for chunk in completion:
    message = chunk.output.choices[0].message
    # Collect only the thinking content
    if "reasoning_content" in message:
        if not is_answering:
            print(message.reasoning_content, end="", flush=True)
        reasoning_content += message.reasoning_content

    # After receiving content, start generating the response
    if message.content:
        if not is_answering:
            print("\n" + "=" * 20 + "Complete Response" + "=" * 20 + "\n")
            is_answering = True
        print(message.content, end="", flush=True)
        answer_content += message.content

print("\n" + "=" * 20 + "Token Usage" + "=" * 20 + "\n")
print(chunk.usage)
print("Request ID:", chunk.request_id)

Response

====================Thinking Process====================
Okay, the user asked a very simple self-introduction question: "Who are you?".
I need to clarify my identity, introduce myself as DeepSeek in a concise and friendly way, mention my creator, basic features, and the help I can provide.
I can organize the answer like this: first, state my identity directly, mention I was created by the DeepSeek company, then list some key features (free, long context, file upload, etc.), and finally end with a friendly invitation, asking if I can help.
====================Complete Response====================
Hello! I am DeepSeek, an AI assistant created by the DeepSeek company.
I can help you answer various questions, create text, analyze documents, assist with programming, and more. My main features are that I am **free to use**, have a **super long context** (I can process the entire 'The Three-Body Problem' trilogy at once), and support **file uploads** and **web search** (must be enabled manually).
Is there anything I can help you with? Whether it's for study, work, or just a casual chat, I'm happy to talk with you!
====================Token Usage====================
{"input_tokens": 6, "output_tokens": 240, "total_tokens": 246, "output_tokens_details": {"reasoning_tokens": 92}}
Request ID: 85735883-9062-9c33-a963-0bc12584ee68

Java

Sample code

// DashScope SDK version >= 2.19.4
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 io.reactivex.Flowable;
import java.lang.System;
import java.util.Arrays;

public class Main {
    private static StringBuilder reasoningContent = new StringBuilder();
    private static StringBuilder finalContent = new StringBuilder();
    private static boolean isFirstPrint = true;
    private static String requestId = "";
    private static void handleGenerationResult(GenerationResult message) {
        requestId = message.getRequestId();
        String reasoning = message.getOutput().getChoices().get(0).getMessage().getReasoningContent();
        String content = message.getOutput().getChoices().get(0).getMessage().getContent();
        if (reasoning != null && !reasoning.isEmpty()) {
            reasoningContent.append(reasoning);
            if (isFirstPrint) {
                System.out.println("====================Thinking Process====================");
                isFirstPrint = false;
            }
            System.out.print(reasoning);
        }
        if (content != null && !content.isEmpty()) {
            finalContent.append(content);
            if (!isFirstPrint) {
                System.out.println("\n====================Complete Response====================");
                isFirstPrint = true;
            }
            System.out.print(content);
        }
    }
    private static GenerationParam buildGenerationParam(Message userMsg) {
        return GenerationParam.builder()
                // If the environment variable is not configured, replace the following line with your Alibaba Cloud Model Studio API key: .apiKey("sk-xxx")
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model("deepseek-v4-pro")
                .enableThinking(true)
                .incrementalOutput(true)
                .resultFormat("message")
                .messages(Arrays.asList(userMsg))
                .build();
    }
    public static void streamCallWithMessage(Generation gen, Message userMsg)
            throws NoApiKeyException, ApiException, InputRequiredException {
        GenerationParam param = buildGenerationParam(userMsg);
        Flowable<GenerationResult> result = gen.streamCall(param);
        result.blockingForEach(message -> handleGenerationResult(message));
    }
    public static void main(String[] args) {
        try {
            // Singapore region. Replace {WorkspaceId} with your Bailian workspace ID. URLs vary by region.
            Generation gen = new Generation("http", "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1");
            Message userMsg = Message.builder().role(Role.USER.getValue()).content("Who are you?").build();
            streamCallWithMessage(gen, userMsg);
            System.out.println("\nRequest ID: " + requestId);
        } catch (ApiException | NoApiKeyException | InputRequiredException e) {
            System.err.println("An exception occurred: " + e.getMessage());
        }
    }
}

Response

====================Thinking Process====================
Okay, the user asked a very simple self-introduction question: "Who are you?".
I need to clarify my identity, introduce myself as DeepSeek in a concise and friendly way, mention my creator, basic features, and the help I can provide.
I can organize the answer like this: first, state my identity directly, mention I was created by the DeepSeek company, then list some key features (free, long context, file upload, etc.), and finally end with a friendly invitation, asking if I can help.
====================Complete Response====================
Hello! I am DeepSeek, an AI assistant created by the DeepSeek company.
I can help you answer various questions, create text, analyze documents, assist with programming, and more. My main features are that I am **free to use**, have a **super long context** (I can process the entire 'The Three-Body Problem' trilogy at once), and support **file uploads** and **web search** (must be enabled manually).
Is there anything I can help you with? Whether it's for study, work, or just a casual chat, I'm happy to talk with you!

HTTP

Sample code

# Singapore region. Replace {WorkspaceId} with your Bailian workspace ID. URLs vary by region.
curl -X POST "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation" \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H "Content-Type: application/json" \
-H "X-DashScope-SSE: enable" \
-d '{
    "model": "deepseek-v4-pro",
    "input":{
        "messages":[
            {
                "role": "user",
                "content": "Who are you?"
            }
        ]
    },
    "parameters":{
        "enable_thinking": true,
        "incremental_output": true,
        "result_format": "message"
    }
}'

Python

Sample code

import anthropic
import os

client = anthropic.Anthropic(
    # If the environment variable is not configured, replace the value with your Model Studio API key: api_key="sk-xxx"
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # When you make a call, replace {WorkspaceId} with your actual Workspace ID.
    base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/apps/anthropic",
)

message = client.messages.create(
    model="deepseek-v4-pro",
    max_tokens=1024,
    messages=[
        {"role": "user", "content": "Who are you?"}
    ],
    stream=True,
)

for event in message:
    if event.type == "content_block_delta":
        if hasattr(event.delta, "thinking"):
            print(event.delta.thinking, end="", flush=True)
        if hasattr(event.delta, "text"):
            print(event.delta.text, end="", flush=True)

HTTP

Sample code

# Singapore region. Replace {WorkspaceId} with your Bailian workspace ID. URLs vary by region.
curl -X POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/apps/anthropic/v1/messages \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H "Content-Type: application/json" \
-H "anthropic-version: 2023-06-01" \
-d '{
    "model": "deepseek-v4-pro",
    "max_tokens": 1024,
    "messages": [
        {
            "role": "user",
            "content": "Who are you?"
        }
    ]
}'