Ai/feature enhancement

[charmi-reddy]

Overview
This branch introduces critical improvements to SuperAGI's core AI infrastructure, focusing on robustness, type safety, and better error handling across the LLM integration and agent task management layers.

Key Improvements

1. Output Parser Hardening

Added custom ParsingError exception for granular error handling
Input validation before parsing with validate_response() method
Specific exception types (ValueError, KeyError) with descriptive messages
Comprehensive docstrings for all methods

2. OpenAI Integration Enhancement

Model validation with supported models list (gpt-4, gpt-3.5-turbo, gpt-4-turbo-preview)
Parameter clamping to ensure valid ranges:
Temperature: 0-2 range
Top-p: 0-1 range
Penalties: -2 to 2 range
Improved logging with f-strings and error-level severity

3. Prompt Builder Improvements

Removed debug print statements
Added validation to raise errors on empty tool lists
Enhanced type hints and comprehensive docstrings
Better regex pattern documentation

4. Task Queue Infrastructure

Full type hints for all methods
Redis connection verification on initialization
Comprehensive error handling and logging for all operations
Detailed docstrings with Args/Returns/Raises sections
Redis-specific error handling (RedisError, ConnectionError)

5. Base Tool Class Validation

Enhanced docstring documenting tool purpose and structure
Constructor validation ensuring required fields (name, description)
Better error messages for missing required attributes