Alibaba Cloud Bailian Coding Plan API Tutorial: How Programmers Can Access Tongyi Qianwen Large Model
Alibaba Cloud Bailian Coding Plan API Tutorial: How Programmers Can Access Tongyi Qianwen Large Model

Author: Programmer Wanfeng | AI Programming Evangelist | Focus on AI Tool Evaluation and Teaching

400,000+ followers across platforms, 6 years of Python development experience, author of open source project python-office

💡 Technology isn't高冷, AI is easy to use 👉 Click to access Tongyi Qianwen

Hello everyone, this is Programmer Wanfeng.

Today I bring you the Alibaba Cloud Bailian API access tutorial, teaching you step by step how to integrate Tongyi Qianwen into your own projects.

I. Preparation

1. Activate the service

First, make sure you have activated Alibaba Cloud Bailian Coding Plan:
👉 Click to activate

2. Get API-KEY

  1. Enter Alibaba Cloud Bailian console
  2. Find "API-KEY"
  3. Create API-KEY and save it

II. API Call Examples

Python Example

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import requests

# Configuration
api_key = "your API-KEY"

# Call Tongyi Qianwen API
def call_qwen(prompt):
    url = "https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions"
    
    headers = {
        "Content-Type": "application/json",
        "Authorization": f"Bearer {api_key}"
    }
    
    data = {
        "model": "qwen-turbo",
        "messages": [
            {"role": "user", "content": prompt}
        ]
    }
    
    response = requests.post(url, json=data, headers=headers)
    return response.json()

# Usage
result = call_qwen("帮我写一个Python快速排序")
print(result)

JavaScript Example

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// Node.js call to Tongyi Qianwen
const axios = require('axios');

async function callQwen(prompt) {
  const response = await axios.post(
    'https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions',
    {
      model: 'qwen-turbo',
      messages: [
        { role: 'user', content: prompt }
      ]
    },
    {
      headers: {
        'Content-Type': 'application/json',
        'Authorization': 'Bearer 你的API-KEY'
      }
    }
  );
  return response.data;
}

// Usage
const result = await callQwen('帮我写一个JS防抖函数');
console.log(result);

III. Use in E-commerce Projects

Taobao Open Platform

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// Call Tongyi Qianwen in Taobao mini-program
async function taobaoAI(prompt) {
  const result = await callQwen(prompt);
  return result.choices[0].message.content;
}

// Product description generation
const desc = await taobaoAI('生成一个手机壳的商品描述');

IV. Common Questions

Q1: Is there a frequency limit for API calls?

Yes, there are different QPS limits for personal and professional versions. Please check the console for details.

Q2: How are tokens calculated?

API calls return usage information, including the number of tokens consumed in this call.

Q3: How to optimize token consumption?

  1. Control context length
  2. Use system prompt appropriately
  3. Clean up conversation history in time

V. Best Practices

1. Error handling

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try:
    result = call_qwen(prompt)
except Exception as e:
    print(f"Call failed: {e}")
    # Degraded processing or retry

2. Asynchronous processing

It is recommended to use asynchronous calls in production environments to avoid blocking.

3. Cache common results

For the same or similar prompts, you can cache results to reduce API calls.

👉 Click to get Alibaba Cloud Bailian API-KEY

📢 Technology isn't高冷, AI is easy to use 👉 Click to activate now

Author: Programmer Wanfeng, same name across platforms, focusing on AI tool evaluation and Python automated office teaching.

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