Deploy an agent

Ensure all classes, methods, and properties have comprehensive docstrings that clearly explain their purpose, behavior, and usage. Docstrings should be preferred over inline comments for method descriptions and should include:

  1. Clear purpose explanation - What the code does and why it exists
  2. Behavior clarification - Explain differences in behavior, especially for similar methods
  3. Attribute documentation - Document all class attributes in the docstring
  4. Examples and expected shapes - Include usage examples and expected data structures
  5. Parameter and return documentation - Use proper Args/Returns sections

Example of comprehensive docstring:

class MultiAgentBase(ABC):
    """Base class for multi-agent helpers.

    This class integrates with existing Strands Agent instances and provides
    multi-agent orchestration capabilities.

    Attributes:
        id: Unique identifier for the multi-agent instance
    """

    @property
    def system_prompt(self) -> str | None:
        """Get the system prompt as a string.
        
        Returns the system prompt content converted to string format,
        while system_prompt_content accepts various content types.
        
        Returns:
            String representation of system prompt, or None if not set
        """

def __init__(self, config_source: str | dict[str, any]):
    """Initialize AgentConfig from file path or dictionary.
    
    Args:
        config_source: Either a file path (with 'file://' prefix) or 
                      a dictionary containing agent configuration.
                      Expected shape: {
                          "name": "agent_name",
                          "model": "model_name", 
                          "tools": ["tool1", "tool2"],
                          "system_prompt": "prompt text"
                      }
    """

This approach improves code maintainability and helps future contributors understand the codebase without needing to read implementation details or PR discussions.