Article Author: Programmer Wan Feng | AI Programming Evangelist | Focused on AI Tool Reviews and Teaching

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

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Hello everyone, this is programmer Wan Feng.

Today brings you a practical tutorial on Tencent Cloud Coding Plan, hand-holding you through Hunyuan large model API integration.

1. Preparation

Things You Need

  1. A Tencent Cloud account
  2. Real-name authentication (required for domestic services)
  3. Python environment (3.8+)

2. Get API Key

Step 1: Visit Official Website

👉 Click to view Tencent Cloud Coding Plan details

Find Tencent Cloud entrance and go to Hunyuan large model page.

Step 2: Activate Service

  1. Log in to Tencent Cloud console
  2. Search "Hunyuan Large Model"
  3. Activate service
  4. Get SecretId and SecretKey

Step 3: Install SDK

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pip install tencentcloud-sdk-hunyuan

3. Code Calling Practice

Basic Call

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from tencentcloud.common import credential
from tencentcloud.hunyuan.v20230901 import hunyuan_client

# Initialize authentication
cred = credential.Credential(
    "SecretId",
    "SecretKey"
)

# Initialize client
client = hunyuan_client.HunyuanClient(cred, "ap-guangzhou")

# Call Hunyuan
response = client.ChatCompletions({
    "Model": "hunyuan-turbo",
    "Messages": [
        {"Role": "user", "Content": "Help me write a Python quicksort"}
    ]
})

print(response)

Code Completion Example

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def code_completion(prompt):
    response = client.ChatCompletions({
        "Model": "hunyuan-turbo",
        "Messages": [
            {"Role": "system", "Content": "You are a Python code assistant"},
            {"Role": "user", "Content": f"Complete the following code:\n{prompt}"}
        ]
    })
    return response["Choices"][0]["Message"]["Content"]

result = code_completion("def quick_sort(arr):")
print(result)

4. WeChat Ecosystem Integration

Mini Program AI Assistant

Tencent Cloud's AI services can be easily integrated into mini programs:

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// Call Hunyuan API
wx.cloud.callContainer({
  config: {
    env: 'your-env-id'
  },
  path: '/hunyuan/chat',
  method: 'POST',
  data: {
    messages: [{role: 'user', content: 'Help me write a mini program'}]
  }
})

5. FAQ

Q1: What versions of Hunyuan models are available?

VersionDescription
hunyuan-turboFast speed, good results, recommended
hunyuan-proHigh intelligence, suitable for complex tasks
hunyuan-standardStandard version

Q2: Is there free quota?

New users have free trial quota, check official website for details.

Q3: Is the response speed fast?

Domestic access, response speed is usually within 1-3 seconds.

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Author: Programmer Wan Feng, same name across all platforms, focused on AI tool reviews and Python office automation teaching.

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