Fix metadata processing in chat adapter

[gilad12-coder]

This PR enhances the ChatAdapter implementation with two improvements:

1. Added Field Metadata Processing:

• Introduced new metadata handling capabilities for numeric field constraints with PERMITTED_CONSTRAINTS
• Added new utility functions to process field metadata:
  • _format_constraint(): Formats numeric constraints (gt, lt, ge, le, multiple_of, allow_inf_nan) based on the constraints that can be passed in Pydantic's fields class (https://docs.pydantic.dev/latest/concepts/fields/#field-aliases)
  • format_metadata_summary(): Creates human-readable metadata summaries for each field
  • format_metadata_constraints(): Formats field constraints for prompt generation
• Enhanced field descriptions in prompts to include metadata information (using the summary and the paragraphical format).
• Added support for numeric field constraints in field metadata processing

example:
relevance_and_significance (float): The score of the argument based on its relevance and significance.
When evaluating relevance and significance, consider the following questions:

• How significant is the central claim the argument is trying to establish?
• How relevant is the claim to the topic?
  The score should be a floating-point number between the specified lower and upper bounds. [Metadata: Ge(ge=0.0); Le(le=1.0)] (this is formatted using format_metadata_summary())
  [[ ## relevance_and_significance ## ]]
  {relevance_and_significance} # note: the value you produce must be a single float value that is greater than or equal to 0.0 and less than or equal to 1.0. (this is formatted using format_metadata_constraints())

2. Improved Code Documentation and Type Hints:

• Added comprehensive docstring to all functions and classes
• Added proper type hints throughout the file
• Improved function signatures with explicit type annotations
• Enhanced error messages for better debugging
• Added descriptive comments for complex logic sections