import json
from typing import List, Dict, Any

# The 'search_memory' function is assumed to be available in the execution environment
# as part of the Genesis Bloodstream MCP integration.

def find_voice_ai_axioms(limit: int = 20) -> List[Dict[str, Any]]:
    """
    Searches the Genesis Bloodstream MCP for axioms about voice AI.

    This function queries the unified memory system for entities of type 'axiom'
    that relate to 'voice AI'. It includes error handling for the search operation.

    Args:
        limit: The maximum number of results to return.

    Returns:
        A list of dictionaries, where each dictionary represents an axiom.
        Returns an empty list if no axioms are found or if an error occurs.
    """
    print("Searching Genesis Bloodstream for axioms related to 'voice AI'...")
    try:
        # This function call maps to the 'search_memory' tool.
        # It requires the tool to be available in the environment.
        axioms = search_memory(query="voice AI", entity_type="axiom", limit=limit)
        
        if not axioms:
            print("No axioms found for 'voice AI'.")
            return []

        print(f"Successfully retrieved {len(axioms)} axiom(s).")
        return axioms
    except Exception as e:
        # This will catch errors if the 'search_memory' tool fails or is not available.
        print(f"An error occurred while searching the Bloodstream: {e}")
        return []

if __name__ == "__main__":
    print("--- Starting Voice AI Axiom Retrieval Script ---")
    # In a real environment, the following line would trigger the 'search_memory' tool call.
    # For demonstration, we are calling the function defined above.
    retrieved_axioms = find_voice_ai_axioms(limit=10)
    
    if retrieved_axioms:
        print("
--- Retrieved Axioms ---")
        # The output from search_memory is expected to be JSON-serializable.
        print(json.dumps(retrieved_axioms, indent=2))
        print("--- End of Axioms ---")
    else:
        print("Could not retrieve any axioms. The search returned no results or an error occurred.")