Alibaba Cloud Model Studio:Partial mode

Python

import os
from openai import OpenAI

# 1. Initialize the client
client = OpenAI(
    # API keys differ by region. Get your API key: https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    # If not set in environment, replace here with your API key
    api_key=os.getenv("DASHSCOPE_API_KEY"), 
    # For Beijing region use: https://dashscope.aliyuncs.com/compatible-mode/v1
    base_url="https://dashscope-intl.aliyuncs.com/compatible-mode/v1",  
)
# 2. Define the code prefix to complete
prefix = """def calculate_fibonacci(n):
    if n <= 1:
        return n
    else:
"""

# 3. Make a Partial Mode request
# Note: The last message in the messages array must have role "assistant" and include "partial": True
completion = client.chat.completions.create(
    model="qwen3-coder-plus",
    messages=[
        {"role": "user", "content": "Complete this Fibonacci function. Do not add anything else."},
        {"role": "assistant", "content": prefix, "partial": True},
    ],
)

# 4. Manually join the prefix and the model's generated content
generated_code = completion.choices[0].message.content
complete_code = prefix + generated_code

print(complete_code)

Response

def calculate_fibonacci(n):
    if n <= 1:
        return n
    else:
        return calculate_fibonacci(n-1) + calculate_fibonacci(n-2)

Node.js

import OpenAI from "openai";

const openai = new OpenAI({
    // If not set in environment, replace the next line with: apiKey: "sk-xxx"
    apiKey: process.env.DASHSCOPE_API_KEY,
    // For Beijing region use: https://dashscope.aliyuncs.com/compatible-mode/v1
    baseURL: "https://dashscope-intl.aliyuncs.com/compatible-mode/v1"
});

// Define the code prefix to complete
const prefix = `def calculate_fibonacci(n):
    if n <= 1:
        return n
    else:
`;

const completion = await openai.chat.completions.create({
    model: "qwen3-coder-plus",  // Use a code model
    messages: [
        { role: "user", content: "Complete this Fibonacci function. Do not add anything else." },
        { role: "assistant", content: prefix, partial: true }
    ],
});

// Manually join the prefix and the model's generated content
const generatedCode = completion.choices[0].message.content;
const completeCode = prefix + generatedCode;

console.log(completeCode);

curl

# ======= Important notice =======
# API keys differ by region. Get your API key: https://www.alibabacloud.com/help/zh/model-studio/get-api-key
# For Beijing region use: https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions
# === Remove this comment before running ===

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-coder-plus",
    "messages": [
        {
            "role": "user", 
            "content": "Complete this Fibonacci function. Do not add anything else."
        },
        {
            "role": "assistant",
            "content": "def calculate_fibonacci(n):\n    if n <= 1:\n        return n\n    else:\n",
            "partial": true
        }
    ]
}'

Response

{
    "choices": [
        {
            "message": {
                "content": "        return calculate_fibonacci(n-1) + calculate_fibonacci(n-2)",
                "role": "assistant"
            },
            "finish_reason": "stop",
            "index": 0,
            "logprobs": null
        }
    ],
    "object": "chat.completion",
    "usage": {
        "prompt_tokens": 48,
        "completion_tokens": 19,
        "total_tokens": 67,
        "prompt_tokens_details": {
            "cache_type": "implicit",
            "cached_tokens": 0
        }
    },
    "created": 1756800231,
    "system_fingerprint": null,
    "model": "qwen3-coder-plus",
    "id": "chatcmpl-d103b1cf-4bda-942f-92d6-d7ecabfeeccb"
}

Python

import os
import dashscope

# If you use a model in the Beijing region, replace the URL with: https://dashscope.aliyuncs.com/api/v1
dashscope.base_http_api_url = 'https://dashscope-intl.aliyuncs.com/api/v1'

# Define the code prefix to be completed
prefix = """def calculate_fibonacci(n):
    if n <= 1:
        return n
    else:
"""

messages = [
    {
        "role": "user", 
        "content": "Complete this Fibonacci function. Do not add any other content."
    },
    {
        "role": "assistant",
        "content": prefix,
        "partial": True
    }
]

response = dashscope.Generation.call(
    # The API key varies by region. To obtain an API key, visit: https://www.alibabacloud.com/help/en/model-studio/get-api-key
    # If the environment variable is not configured, replace the following line with api_key="sk-xxx", and use your Alibaba Cloud Model Studio API key.
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    model='qwen3-coder-plus',  # Use a code model
    messages=messages,
    result_format='message',  
)

# Manually concatenate the prefix and the content generated by the model
generated_code = response.output.choices[0].message.content
complete_code = prefix + generated_code

print(complete_code)

Response

def calculate_fibonacci(n):
    if n <= 1:
        return n
    else:
        return calculate_fibonacci(n-1) + calculate_fibonacci(n-2)

curl

# ======= Important notice =======
# API keys differ by region. Get your API key: https://www.alibabacloud.com/help/zh/model-studio/get-api-key
# For Beijing region use: https://dashscope.aliyuncs.com/api/v1/services/aigc/text-generation/generation
# === Remove this comment before running ===

curl -X POST "https://dashscope.aliyuncs.com/api/v1/services/aigc/text-generation/generation" \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
    "model": "qwen3-coder-plus",
    "input":{
        "messages":[
            {
                "role": "user",
                "content": "Complete this Fibonacci function. Do not add anything else."
            },
            {
                "role": "assistant",
                "content": "def calculate_fibonacci(n):\n    if n <= 1:\n        return n\n    else:\n",
                "partial": true
            }
        ]
    },
    "parameters": {
        "result_format": "message"
    }
}'

Response

{
    "output": {
        "choices": [
            {
                "message": {
                    "content": "        return calculate_fibonacci(n-1) + calculate_fibonacci(n-2)",
                    "role": "assistant"
                },
                "finish_reason": "stop"
            }
        ]
    },
    "usage": {
        "total_tokens": 67,
        "output_tokens": 19,
        "input_tokens": 48,
        "prompt_tokens_details": {
            "cached_tokens": 0
        }
    },
    "request_id": "c61c62e5-cf97-90bc-a4ee-50e5e117b93f"
}

Python

import os
from openai import OpenAI

client = OpenAI(
    # If not set in environment, replace the next line with: api_key="sk-xxx",
    # API keys differ by region. Get your API key: https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # For Beijing region use: https://dashscope.aliyuncs.com/compatible-mode/v1
    base_url="https://dashscope-intl.aliyuncs.com/compatible-mode/v1"
)

completion = client.chat.completions.create(
    model="qwen3-vl-plus",
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "image_url",
                    "image_url": {
                        "url": "https://img.alicdn.com/imgextra/i3/O1CN01zFX2Bs1Q0f9pESgPC_!!6000000001914-2-tps-450-450.png"
                    },
                },
                {"type": "text", "text": "I want to post this on social media. Help me write a caption."},
            ],
        },
        {
            "role": "assistant",
            "content": "Today I discovered a hidden-gem café",
            "partial": True,
        },
    ],
)
print(completion.choices[0].message.content)

Response

— the tiramisu here is pure bliss! Every bite delivers perfect harmony between coffee and cream. Pure joy! #FoodShare #Tiramisu #CoffeeTime

Hope you like this caption! Let me know if you need any changes.

Node.js

import OpenAI from "openai";

const openai = new OpenAI({
  // API keys differ by region. Get your API key: https://www.alibabacloud.com/help/zh/model-studio/get-api-key
  // If you have not set the environment variable, replace the next line with: apiKey: "sk-xxx"
  apiKey: process.env.DASHSCOPE_API_KEY,
  // For Beijing region models, replace baseURL with: https://dashscope.aliyuncs.com/compatible-mode/v1
  baseURL: "https://dashscope-intl.aliyuncs.com/compatible-mode/v1"
});

async function main() {
    const response = await openai.chat.completions.create({
        model: "qwen3-vl-plus",  
        messages: [
            {
                role: "user",
                content: [
                    {
                        type: "image_url",
                        image_url: {
                            "url": "https://img.alicdn.com/imgextra/i3/O1CN01zFX2Bs1Q0f9pESgPC_!!6000000001914-2-tps-450-450.png"
                        }
                    },
                    {
                        type: "text",
                        text: "I want to post this on social media. Help me write a caption."
                    }
                ]
            },
            {
                role: "assistant",
                content: "Today I discovered a hidden-gem café",
                "partial": true
            }
        ]
    });
    console.log(response.choices[0].message.content);
}

main();

curl

# ======= Important notice =======
# For Beijing region models, replace base_url with: https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions
# API keys differ by region. Get your API key: https://www.alibabacloud.com/help/zh/model-studio/get-api-key
# === Remove this comment before running ===

curl -X POST 'https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions' \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
  "model": "qwen3-vl-plus",
  "messages": [
    {
      "role": "user",
      "content": [
        {
          "type": "image_url",
          "image_url": {
            "url": "https://img.alicdn.com/imgextra/i3/O1CN01zFX2Bs1Q0f9pESgPC_!!6000000001914-2-tps-450-450.png"
          }
        },
        {
          "type": "text",
          "text": "I want to post this on social media. Help me write a caption."
        }
      ]
    },
    {
      "role": "assistant",
      "content": "Today I discovered a hidden-gem café",
      "partial": true
    }
  ]
}'

Response

{
    "choices": [
        {
            "message": {
                "content": "— the tiramisu here is pure bliss! Every bite delivers perfect harmony between coffee and cream. Pure joy! #FoodShare #Tiramisu #CoffeeTime\n\nHope you like this caption! Let me know if you need any changes.",
                "role": "assistant"
            },
            "finish_reason": "stop",
            "index": 0,
            "logprobs": null
        }
    ],
    "object": "chat.completion",
    "usage": {
        "prompt_tokens": 282,
        "completion_tokens": 56,
        "total_tokens": 338,
        "prompt_tokens_details": {
            "cached_tokens": 0
        }
    },
    "created": 1756802933,
    "system_fingerprint": null,
    "model": "qwen3-vl-plus",
    "id": "chatcmpl-5780cbb7-ebae-9c63-b098-f8cc49e321f0"
}

Python

import os
import dashscope

# For Beijing region models, replace the URL with: https://dashscope.aliyuncs.com/api/v1
dashscope.base_http_api_url = 'https://dashscope-intl.aliyuncs.com/api/v1'

messages = [
    {
        "role": "user",
        "content": [
            {
                "image": "https://img.alicdn.com/imgextra/i3/O1CN01zFX2Bs1Q0f9pESgPC_!!6000000001914-2-tps-450-450.png"
            },
            {"text": "I want to post this on social media. Help me write a caption."},
        ],
    },
    {"role": "assistant", "content": "Today I discovered a hidden-gem café", "partial": True},
]

response = dashscope.MultiModalConversation.call(
    # If you have not set the environment variable, replace the next line with: api_key ="sk-xxx"
    api_key=os.getenv("DASHSCOPE_API_KEY"), 
    model="qwen3-vl-plus", 
    messages=messages
)

print(response.output.choices[0].message.content[0]["text"])

Response

— the tiramisu here is pure bliss! Every bite delivers perfect harmony between coffee and cream. Pure joy! #FoodShare #Tiramisu #CoffeeTime

Hope you like this caption! Let me know if you need any changes.

curl

# ======= Important notice =======
# For Beijing region models, replace the URL with: https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation
# API keys differ by region. Get your API key: https://www.alibabacloud.com/help/zh/model-studio/get-api-key
# === Remove this comment before running ===

curl -X POST https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
    "model": "qwen3-vl-plus",
    "input":{
        "messages":[
            {"role": "user",
             "content": [
               {"image": "https://img.alicdn.com/imgextra/i3/O1CN01zFX2Bs1Q0f9pESgPC_!!6000000001914-2-tps-450-450.png"},
               {"text": "I want to post this on social media. Help me write a caption."}]
            },
            {"role": "assistant",
             "content": "Today I discovered a hidden-gem café",
             "partial": true
            }
        ]
    }
}'

Response

{
    "output": {
        "choices": [
            {
                "message": {
                    "content": [
                        {
                            "text": "— the tiramisu here is pure bliss! Every bite delivers perfect harmony between coffee and cream. Pure joy! #FoodShare #Tiramisu #CoffeeTime\n\nHope you like this caption! Let me know if you need any changes."
                        }
                    ],
                    "role": "assistant"
                },
                "finish_reason": "stop"
            }
        ]
    },
    "usage": {
        "total_tokens": 339,
        "input_tokens_details": {
            "image_tokens": 258,
            "text_tokens": 24
        },
        "output_tokens": 57,
        "input_tokens": 282,
        "output_tokens_details": {
            "text_tokens": 57
        },
        "image_tokens": 258
    },
    "request_id": "c741328c-23dc-9286-bfa7-626a4092ca09"
}

Python

import os
from openai import OpenAI

client = OpenAI(
    # API keys differ by region. Get your API key: https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    # If not set in environment, replace here with your API key
    api_key=os.getenv("DASHSCOPE_API_KEY"), 
    # For Beijing region use: https://dashscope.aliyuncs.com/compatible-mode/v1
    base_url="https://dashscope-intl.aliyuncs.com/compatible-mode/v1",  
)

def chat_completion(messages,max_tokens=None):
    response = client.chat.completions.create(
        model="qwen-plus",
        messages=messages,
        max_tokens=max_tokens
    )
    print(f"### Reason generation stopped: {response.choices[0].finish_reason}")
    
    return response.choices[0].message.content

# Example usage
messages = [{"role": "user", "content": "Write a short sci-fi story"}]

# First call with max_tokens set to 40
first_content = chat_completion(messages, max_tokens=40)
print(first_content)
# Add the first response as an assistant message and set partial=True
messages.append({"role": "assistant", "content": first_content, "partial": True})

# Second call
second_content = chat_completion(messages)
print("### Complete content:")
print(first_content+second_content)

### Reason generation stopped: length
**"The End of Memory"**

In the distant future, Earth is no longer fit for human life. The atmosphere is polluted, oceans are dry, and cities lie in ruins. Humans migrated to a habitable planet named "Eden," with blue skies, fresh air, and endless resources.

However, Eden is not a true paradise. It holds no human history, no past, and no memory.

...
**"If we forget who we are, are we still human?"**

— End —

Node.js

import OpenAI from "openai";

const openai = new OpenAI({
    // API keys differ by region. Get your API key: https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    // If not set in environment, replace the next line with: apiKey: "sk-xxx"
    apiKey: process.env.DASHSCOPE_API_KEY,
    // For Beijing region use: https://dashscope.aliyuncs.com/compatible-mode/v1
    baseURL: "https://dashscope-intl.aliyuncs.com/compatible-mode/v1"
});

async function chatCompletion(messages, maxTokens = null) {
    const completion = await openai.chat.completions.create({
        model: "qwen-plus",
        messages: messages,
        max_tokens: maxTokens
    });
    
    console.log(`### Reason generation stopped: ${completion.choices[0].finish_reason}`);
    return completion.choices[0].message.content;
}

// Example usage
async function main() {
    let messages = [{"role": "user", "content": "Write a short sci-fi story"}];

    try {
        // First call with max_tokens set to 40
        const firstContent = await chatCompletion(messages, 40);
        console.log(firstContent);
        
        // Add the first response as an assistant message and set partial=true
        messages.push({"role": "assistant", "content": firstContent, "partial": true});

        // Second call
        const secondContent = await chatCompletion(messages);
        console.log("### Complete content:");
        console.log(firstContent + secondContent);
        
    } catch (error) {
        console.error('Execution error:', error);
    }
}

// Run the example
main();

Python

Sample code

import os
import dashscope
# For Beijing region models, replace the URL with: https://dashscope.aliyuncs.com/api/v1
dashscope.base_http_api_url = 'https://dashscope-intl.aliyuncs.com/api/v1'

def chat_completion(messages, max_tokens=None):
    response = dashscope.Generation.call(
        # API keys differ by region. Get your API key: https://www.alibabacloud.com/help/zh/model-studio/get-api-key
        # If not set in environment, replace the next line with: api_key="sk-xxx",
        api_key=os.getenv("DASHSCOPE_API_KEY"),
        model='qwen-plus',
        messages=messages,
        max_tokens=max_tokens,
        result_format='message',  
    )
    
    print(f"### Reason generation stopped: {response.output.choices[0].finish_reason}")
    return response.output.choices[0].message.content

# Example usage
messages = [{"role": "user", "content": "Write a short sci-fi story"}]

# First call with max_tokens set to 40
first_content = chat_completion(messages, max_tokens=40)
print(first_content)

# Add the first response as an assistant message and set partial=True
messages.append({"role": "assistant", "content": first_content, "partial": True})

# Second call
second_content = chat_completion(messages)
print("### Complete content:")
print(first_content + second_content)

Response

### Reason generation stopped: length
Title: **"Origami Time"**

---

In 2179, humanity finally mastered time travel. But this technology did not rely on massive machines or complex energy fields. It relied on paper.

A single sheet of paper.

It was called "Origami Time," made from an unknown alien material. Scientists could not explain how it worked. They only knew that drawing a scene on the paper and folding it in a specific way opened a door to the past or future.

...

"You are not the key to time. You are just a reminder that our future is always in our hands."

Then I tore it into pieces.

---

**(End)**