try:
    from google.adk.agents.context_cache_config import ContextCacheConfig
except (ImportError, AttributeError, ModuleNotFoundError):
    ContextCacheConfig = None
# v1.4.5 Sovereign Alignment: Optimized for Google Cloud Run
from tenacity import retry, wait_exponential, stop_after_attempt
import asyncio
from typing import List, Dict, Any, Optional
from dataclasses import dataclass
from rich.console import Console
from rich.panel import Panel
console = Console()

@dataclass
class SwarmMessage:
    sender: str
    recipient: str
    content: str
    evidence_packet: Optional[Dict[str, Any]] = None

class MultiAgentOrchestrator:
    """
    Standardizes Swarm/Coordinator patterns using the A2A spec.
    """

    def __init__(self):
        self.agents: Dict[str, Any] = {}
        self.history: List[SwarmMessage] = []

    def register_agent(self, name: str, agent_func):
        self.agents[name] = agent_func
        console.print(f'🤖 Agent [bold cyan]{name}[/bold cyan] registered in swarm.')

    async def dispatch(self, sender: str, recipient: str, message: str):
        """Dispatches a message with an A2A Reasoning Evidence Packet."""
        console.print(f'\n📡 [dim]A2A Transmission:[/dim] [bold]{sender}[/bold] -> [bold]{recipient}[/bold]')
        evidence = {'assurance_score': 0.99, 'origin_vpc': 'secure-engine-zone', 'pii_scrubbed': True}
        swarm_msg = SwarmMessage(sender, recipient, message, evidence)
        self.history.append(swarm_msg)
        if recipient in self.agents:
            response = await self.agents[recipient](message, evidence)
            return response
        else:
            return {'error': f'Agent {recipient} not found.'}

    def get_swarm_report(self):
        console.print(Panel.fit('🐝 [bold]Swarm Orchestration Trace[/bold]', border_style='yellow'))
        for msg in self.history:
            console.print(f'[blue]{msg.sender}[/blue] -> [green]{msg.recipient}[/green]: {msg.content}')

@retry(wait=wait_exponential(multiplier=1, min=4, max=10), stop=stop_after_attempt(3))
def run_swarm_demo():
    orchestrator = MultiAgentOrchestrator()

    async def researcher(query, evidence):
        return f"Research results for {query} (Evidence verified: {evidence['assurance_score']})"

    async def writer(query, evidence):
        return f'Professional summary of {query}'
    orchestrator.register_agent('Researcher', researcher)
    orchestrator.register_agent('Writer', writer)
    loop = asyncio.get_event_loop()
    loop.run_until_complete(orchestrator.dispatch('Orchestrator', 'Researcher', 'Analyze market trends'))
    orchestrator.get_swarm_report()
if __name__ == '__main__':
    run_swarm_demo()