How do I handle errors and exceptions when using the Anthropic Python SDK

- `anthropic.APIConnectionError`: Raised when the library is unable to connect to the API, for example due to network connection problems or a timeout[4].

- `anthropic.APIStatusError`: Raised when the API returns a non-success status code (4xx or 5xx). It contains `status_code` and `response` properties[4].

- `anthropic.BadRequestError`: Raised for 400 Bad Request errors[4].

- `anthropic.AuthenticationError`: Raised for 401 Unauthorized errors[4].

- `anthropic.PermissionDeniedError`: Raised for 403 Forbidden errors[4].

- `anthropic.NotFoundError`: Raised for 404 Not Found errors[4].

- `anthropic.UnprocessableEntityError`: Raised for 422 Unprocessable Entity errors[4].

- `anthropic.RateLimitError`: Raised for 429 Too Many Requests errors[4].

- `anthropic.InternalServerError`: Raised for 500+ Internal Server errors[4].

Here's an example of how to catch these exceptions:

python
import anthropic

client = anthropic.Anthropic()

try:
    response = client.completions.create(
        prompt=f"{anthropic.HUMAN_PROMPT} Your prompt here{anthropic.AI_PROMPT}",
        max_tokens_to_sample=300,
        model="claude-2"
    )
except anthropic.APIConnectionError as e:
    print("The server could not be reached")
    print(e.__cause__)  # an underlying Exception, likely raised within httpx
except anthropic.RateLimitError as e:
    print("A 429 status code was received; we should back off a bit.")
except anthropic.APIStatusError as e:
    print("Another non-200-range status code was received")
    print(e.status_code)
    print(e.response)

By catching these exceptions, you can handle specific error scenarios and provide appropriate error messages or fallback behavior in your application[1][4].