Standardize error handling and logging across all modules

Problem

The project currently has inconsistent error handling patterns across different modules. Some use custom exceptions, others use generic try/except blocks, and logging is not standardized. This makes debugging difficult and error messages inconsistent for users.

Proposed Solution

1. Create a centralized error handling module with custom exception classes
2. Implement a consistent logging strategy with proper log levels
3. Define standard error message templates
4. Ensure all modules follow the same error handling pattern

Implementation Approach

1. Create src/utils/errors.py with a hierarchy of custom exceptions:

   • GenerativeAIError (base exception)
   • ModelError (for model-related errors)
   • FileError (for file operations)
   • etc.

2. Define standard logging configuration in src/utils/logging_config.py

   • Set appropriate log levels (DEBUG, INFO, WARNING, ERROR)
   • Configure log formatting with timestamps and context
   • Add file and console handlers

3. Refactor existing code to use the new exception hierarchy and logging configuration

Benefits

• Easier debugging and error tracing
• Consistent error messages for users
• Improved maintainability
• Better error recovery mechanisms
• Structured logs for analysis