try:
    from google.adk.agents.context_cache_config import ContextCacheConfig
except (ImportError, AttributeError, ModuleNotFoundError):
    ContextCacheConfig = None
# v1.8.4 Sovereign Alignment: Optimized for Google Cloud Run
import asyncio
from dataclasses import dataclass
from typing import Any, Dict, List, Optional

from rich.console import Console
from rich.panel import Panel
from tenacity import retry, stop_after_attempt, wait_exponential

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()