Handling API Responses and Error Management 🛠️
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.