How can I view the logged errors in real-time

1. Enable debug-level logging:

python
import logging

logging.basicConfig(level=logging.DEBUG, format='%(asctime)s %(levelname)s: %(message)s')

This will output all log messages, including any errors or exceptions, to the console in real-time.

2. Customize the logging configuration:

If you want to log the errors to a file instead of the console, you can add a file handler to the logging configuration:

python
import logging

logging.basicConfig(
    level=logging.DEBUG,
    format='%(asctime)s %(levelname)s: %(message)s',
    filename='anthropic_errors.log',
    filemode='w'
)

This will write all log messages, including errors, to the `anthropic_errors.log` file.

3. Handle specific exception types:

You can also catch specific exception types raised by the Anthropic Python SDK and log them separately:

python
import anthropic
import logging

logging.basicConfig(level=logging.DEBUG, format='%(asctime)s %(levelname)s: %(message)s')

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:
    logging.error("An API connection error occurred: %s", e)
except anthropic.APIStatusError as e:
    logging.error("An API status error occurred: status_code=%s, response=%s", e.status_code, e.response)
except Exception as e:
    logging.error("An unexpected error occurred: %s", e)

This will log specific error types, such as `APIConnectionError` and `APIStatusError`, separately, providing more detailed information about the errors.

By following these steps, you can effectively view the logged errors from the Anthropic Python SDK in real-time, which can be helpful for troubleshooting and debugging issues.