Understanding Your Coder AI API Keys

Welcome to the Coder AI API Hub! Your API keys are unique identifiers that authenticate your requests to Coder AI's powerful suite of services. They allow you to integrate our advanced AI capabilities directly into your applications, workflows, and projects.

Important: Treat your API keys like passwords. Keep them confidential and secure. Do not share them publicly or embed them directly in client-side code. We recommend using environment variables or secure server-side storage.

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How to Use Your API Keys in Projects

To use a Coder AI API, you'll need to include your API key in the HTTP request headers when making calls to our service endpoints. Ensure your requests are made over HTTPS.

Best Practices for Security:

Example: Making an API Call (Python)

import requests
import os
# Best practice: Load API key from environment variable
API_KEY = os.getenv('CODER_AI_API_KEY')
CODER_AI_ENDPOINT = 'https://api.codingassistant.co.uk/v1/chat/completions' # Example endpoint
headers = {
    'Authorization': f'Bearer {API_KEY}',
    'Content-Type': 'application/json'
}
data = {
    'model': 'coder-ai-chat-pro', # Specify the model if applicable
    'messages': [{'role': 'user', 'content': 'Hello AI!'}]
}
try:
    response = requests.post(CODER_AI_ENDPOINT, headers=headers, json=data)
    response.raise_for_status() # Raises an exception for HTTP errors
    api_response = response.json()
    print(api_response)
except requests.exceptions.RequestException as e:
    print(f"API request failed: {e}")

Example: Making an API Call (JavaScript - Node.js Server-Side)

// Best practice: Load API key from environment variable
const API_KEY = process.env.CODER_AI_API_KEY;
const CODER_AI_ENDPOINT = 'https://api.codingassistant.co.uk/v1/image/generate'; // Example endpoint
async function generateImage(promptText) {
    try {
        const response = await fetch(CODER_AI_ENDPOINT, {
            method: 'POST',
            headers: {
                'Authorization': `Bearer ${API_KEY}`,
                'Content-Type': 'application/json'
            },
            body: JSON.stringify({ prompt: promptText, size: '1024x1024' }) // Example payload
        });
        if (!response.ok) {
            const errorBody = await response.text(); // Get more error details if possible
            throw new Error(`API request failed: ${response.status} ${response.statusText} - ${errorBody}`);
        }
        const data = await response.json();
        console.log(data.imageUrl); // Process the response data
    } catch (error) {
        console.error('Error calling Coder AI API:', error);
    }
}

For detailed instructions on specific endpoints, request/response formats, and advanced features, please refer to our Official API Documentation.

Available Coder AI API Services

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More API services are under development and will be listed here as they become available. Stay tuned!

Connecting to Powerful Backends, Responsibly

When you use a Coder AI API, you're tapping into the Coder AI platform, which orchestrates calls to various advanced AI models and backend services. We are committed to providing robust and reliable API access while ensuring responsible AI practices.

Your API usage contributes to the ongoing development and maintenance of these sophisticated systems. Please refer to our Terms of Use and API rate limits for more information.

API Documentation & Support

For comprehensive details on each API service, including endpoint specifications, request parameters, response formats, and code examples in various languages, please visit our dedicated Official API Documentation.

If you have questions, encounter issues, or need assistance with your API integration, please don't hesitate to contact our support team. We're here to help you succeed!