Handling Errors

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❌ Common Error Codes

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Error Handling Tips

• Check the Response Body: In most cases, the response body will contain additional information regarding the error, such as error messages or codes that can help you pinpoint the issue.
• Rate Limits: If you encounter a 429 error, avoid sending requests too frequently. Implement exponential backoff to retry requests after waiting for the rate limit to reset.
• Authentication: A 403 Forbidden error may be due to incorrect API key or insufficient permissions. Ensure that your key is valid and has the right scopes to access the resource.
• Testing: Always test your API calls in a controlled environment to ensure that the request format and parameters are correct.

📌 Tip: Always handle errors gracefully in your application. Proper error handling ensures that users have a better experience, even when things go wrong!

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How to Handle Errors in Your Code

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Python Example:

import requests

url = "https://api.musicgpt.com/data"
headers = {
    "Authorization": "Bearer <your_api_key>"
}

response = requests.get(url, headers=headers)

if response.status_code == 200:
    print("Request successful:", response.json())
elif response.status_code == 400:
    print("Bad Request: Check your input parameters.")
elif response.status_code == 429:
    print("Rate Limit Exceeded: Please try again later.")
elif response.status_code == 500:
    print("Internal Server Error: Try again later.")
else:
    print(f"Error {response.status_code}: {response.text}")