Tutorial: Call GPT APIs via Wisdom Gate in Python and Node.js

Introduction

Wisdom Gate provides affordable access to powerful GPT and Claude language models with straightforward REST API endpoints. Developers can integrate rich conversational AI capabilities in Python or Node.js with minimal setup.

Prerequisites

• Obtain your API key from Wisdom Gate.
• Ensure you have Python 3.x or Node.js installed.
• Familiarize yourself with basic API request structures.

Understanding the Endpoint

Base URL: https://wisdom-gate.juheapi.com/v1 Endpoint: /chat/completions

Required headers:

• Authorization: YOUR_API_KEY
• Content-Type: application/json
• Accept: /
• Host: wisdom-gate.juheapi.com
• Connection: keep-alive

Payload example: Model options include wisdom-ai-claude-sonnet-4 and others; messages are arrays of role/content objects.

Cost Comparison

Step-by-Step in Python

Setup Environment

Install requests:

pip install requests

Plug-and-Play Python Snippet

import requests

url = "https://wisdom-gate.juheapi.com/v1/chat/completions"
headers = {
    "Authorization": "YOUR_API_KEY",
    "Content-Type": "application/json",
    "Accept": "*/*",
    "Host": "wisdom-gate.juheapi.com",
    "Connection": "keep-alive"
}

payload = {
    "model": "wisdom-ai-claude-sonnet-4",
    "messages": [
        {"role": "user", "content": "Hello, how can you help me today?"}
    ]
}

response = requests.post(url, headers=headers, json=payload)
print(response.json())

Handling Responses

Responses are JSON objects—parse and handle exceptions:

try:
    data = response.json()
    print(data['choices'][0]['message']['content'])
except Exception as e:
    print("Error:", e)

Step-by-Step in Node.js

Setup Environment

Install axios:

npm install axios

Plug-and-Play Node Snippet

const axios = require('axios');

const url = 'https://wisdom-gate.juheapi.com/v1/chat/completions';
const headers = {
    'Authorization': 'YOUR_API_KEY',
    'Content-Type': 'application/json',
    'Accept': '*/*',
    'Host': 'wisdom-gate.juheapi.com',
    'Connection': 'keep-alive'
};

const payload = {
    model: 'wisdom-ai-claude-sonnet-4',
    messages: [{ role: 'user', content: 'Hello, how can you help me today?' }]
};

axios.post(url, payload, { headers })
    .then(res => {
        console.log(res.data);
    })
    .catch(err => {
        console.error('Error:', err);
    });

Handling Responses

Access the model's reply via res.data.choices[0].message.content.

Testing in AI Studio

Quickly prototype and interact with models at: Wisdom Gate AI Studio

Best Practices

• Keep your API keys secure and never commit them to version control.
• Monitor token usage to stay within budget.
• Batch messages where possible to minimize token counts.
• Log errors for debugging.
• Use environment variables to store sensitive credentials.

Conclusion

With ready-made Python and Node.js snippets, integrating Wisdom Gate GPT APIs is fast, economical, and developer-friendly. You gain access to high-quality responses for less cost, and the flexible setup allows experimenting both locally and in AI Studio.