Handling API Responses and Error Management 🛠️

Advanced

Robust applications require proper handling of responses and errors. Responses from the API are in JSON format, containing the generated text or error messages. Practical steps include:

  • Checking HTTP status codes to detect failures.
  • Parsing JSON responses for the choices array.
  • Implementing retries with exponential backoff for network issues.
  • Logging errors for debugging.

Example in Python:

try:
    response = requests.post('https://api.openai.com/v1/completions', headers=headers, json=data)
    response.raise_for_status()
    result = response.json()
    print(result['choices'][0]['text'])
except requests.exceptions.HTTPError as e:
    print(f'HTTP error occurred: {e}')
except Exception as e:
    print(f'An error occurred: {e}')

This approach helps maintain reliable integrations, much like a well-maintained machine that prevents breakdowns.