Handling OpenAI’s ChatGPT API errors in code involves making use of try-catch blocks to catch any possible exceptions that might occur and then handling them appropriately. Here’s a simple example using Python:
```
import openai
openai.api_key = ‘your-api-key’
try: response = openai.ChatCompletion.create( model=“gpt-3.5-turbo”, messages=[ {“role”: “system”, “content”: “You are a helpful assistant.”}, {“role”: “user”, “content”: “Who won the world series in 2020?”}, ] ) message = response[‘choices’]0[‘message’][‘content’] print(message)
except openai.error.OpenAIError as e:
# Handle any API exceptions here
print(f“An error occurred: {e}”)
```
The `openai.error.OpenAIError` is the base class for all exceptions raised by the OpenAI API. Specific types of errors (such as `InvalidRequestError` or `AuthError`) inherit from this base class. Read OpenAI’s documentation for detailed information on the different kinds of errors.
The key here is to provide appropriate error handling in your code so that your application could recover gracefully from any errors occurring from the API calls. The type of recovery would depend on the nature of the error and what your application’s requirements are.
