Utilities

This section covers utility components used throughout the Agentic AI framework.

Logging (src/utils/logger.py)

The framework utilizes a flexible logging system based on a LoggerFactory.

• LoggerFactory: A factory class used to create logger instances.
• Purpose: Provides a consistent way to obtain configured loggers across different modules.
• Usage:

from src.utils.logger import LoggerFactory

# Get a logger instance (typically within a class __init__)
logger = LoggerFactory.create(name="my_module_or_class_name")

# Use the logger
logger.info("This is an informational message.")
logger.debug("This is a debug message.")
logger.warning("This is a warning.")
logger.error("This is an error message.")

• Configuration: Logging levels and output handlers (e.g., console, file) are typically configured globally, potentially influenced by environment variables or application setup.