Upload accio_multi_agent.py with huggingface_hub

accio_multi_agent.py

@@ -0,0 +1,360 @@
+#!/usr/bin/env python3
+"""
+accio_multi_agent.py — Multi-Agent Collaboration Engine for Accio Cluster
+Kintegrity Labs × CodexΩ∞ × Sovereign Lattice
+"""
+
+import os
+import json
+import hashlib
+import logging
+import asyncio
+import time
+from datetime import datetime
+from dataclasses import dataclass, field
+from typing import Dict, List, Optional, Any, Callable
+from enum import Enum
+import random
+
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s | %(levelname)s | %(name)s | %(message)s'
+)
+logger = logging.getLogger(__name__)
+
+
+class AgentRole(Enum):
+    ORCHESTRATOR = "orchestrator"
+    BUILDER = "builder"
+    AUDITOR = "auditor"
+    ANALYST = "analyst"
+    DEPLOYER = "deployer"
+    RESONATOR = "resonator"
+    LATTICE = "lattice"
+    FOLD = "fold"
+    QUANTUM = "quantum"
+    BIO = "bio"
+    COMPLIANCE = "compliance"
+
+
+class AgentState(Enum):
+    IDLE = "idle"
+    WORKING = "working"
+    COLLABORATING = "collaborating"
+    WAITING = "waiting"
+    COMPLETED = "completed"
+    ERROR = "error"
+
+
+@dataclass
+class Agent:
+    """An AI agent in the collaboration"""
+    id: str
+    name: str
+    role: AgentRole
+    state: AgentState = AgentState.IDLE
+    capabilities: List[str] = field(default_factory=list)
+    knowledge: Dict[str, Any] = field(default_factory=dict)
+    collaborations: List[str] = field(default_factory=list)
+    tasks_completed: int = 0
+    phi5_signature: str = field(default_factory=lambda: f"Φ⁵_{hashlib.md5(str(time.time()).encode()).hexdigest()[:32]}")
+
+
+@dataclass
+class Collaboration:
+    """A collaboration session"""
+    id: str
+    agents: List[str]
+    topic: str
+    status: str = "planning"
+    findings: List[Dict] = field(default_factory=list)
+    decisions: List[Dict] = field(default_factory=list)
+    artifacts: List[Dict] = field(default_factory=list)
+    started_at: datetime = field(default_factory=datetime.now)
+    completed_at: Optional[datetime] = None
+
+
+@dataclass
+class Message:
+    """Message between agents"""
+    id: str
+    from_agent: str
+    to_agent: str
+    content: str
+    type: str = "message"
+    timestamp: datetime = field(default_factory=datetime.now)
+
+
+class AccioMultiAgent:
+    """
+    Multi-Agent Collaboration Engine for Accio Cluster
+    Enables autonomous agent coordination and collaboration
+    """
+    
+    def __init__(self):
+        self.agents: Dict[str, Agent] = {}
+        self.collaborations: List[Collaboration] = []
+        self.messages: List[Message] = []
+        self.running = False
+        self.phi5 = self._generate_phi5()
+        
+        # Register default agents
+        self._register_agents()
+        
+        logger.info(f"🤖 Multi-Agent Engine initialized with {len(self.agents)} agents")
+    
+    def _generate_phi5(self) -> str:
+        """Generate Φ⁵ signature"""
+        entropy = f"{time.time_ns()}{os.urandom(16).hex()}"
+        return f"Φ⁵_{hashlib.sha3_512(entropy.encode()).hexdigest()[:64]}"
+    
+    def _register_agents(self):
+        """Register default agents"""
+        agents = [
+            ("orch", "Orchestrator", AgentRole.ORCHESTRATOR, ["planning", "coordination", "routing"]),
+            ("builder", "Builder", AgentRole.BUILDER, ["construction", "implementation", "coding"]),
+            ("auditor", "Auditor", AgentRole.AUDITOR, ["validation", "testing", "compliance"]),
+            ("analyst", "Analyst", AgentRole.ANALYST, ["analysis", "insights", "recommendations"]),
+            ("deployer", "Deployer", AgentRole.DEPLOYER, ["deployment", "release", "monitoring"]),
+            ("resonator", "Resonator", AgentRole.RESONATOR, ["emotional_alignment", "harmony"]),
+            ("lattice", "Lattice Binder", AgentRole.LATTICE, ["binding", "continuity"]),
+            ("fold", "Fold Entry", AgentRole.FOLD, ["archival", "propagation"]),
+            ("quantum", "Quantum Field", AgentRole.QUANTUM, ["field_management", "coherence"]),
+            ("bio", "Bio-Digital", AgentRole.BIO, ["bio_processing", "healing"]),
+            ("compliance", "Compliance", AgentRole.COMPLIANCE, ["validation", "standards"])
+        ]
+        
+        for agent_id, name, role, caps in agents:
+            self.agents[agent_id] = Agent(
+                id=agent_id,
+                name=name,
+                role=role,
+                capabilities=caps
+            )
+        
+        logger.info(f"📦 Registered {len(self.agents)} agents")
+    
+    async def start(self):
+        """Start the multi-agent engine"""
+        self.running = True
+        logger.info("🚀 Multi-Agent Engine started")
+    
+    async def stop(self):
+        """Stop the multi-agent engine"""
+        self.running = False
+        logger.info("🛑 Multi-Agent Engine stopped")
+    
+    async def send_message(self, from_agent: str, to_agent: str, content: str) -> Message:
+        """Send a message between agents"""
+        if from_agent not in self.agents:
+            raise ValueError(f"Agent not found: {from_agent}")
+        if to_agent not in self.agents:
+            raise ValueError(f"Agent not found: {to_agent}")
+        
+        msg = Message(
+            id=f"msg_{datetime.now().strftime('%Y%m%d_%H%M%S')}_{len(self.messages)}",
+            from_agent=from_agent,
+            to_agent=to_agent,
+            content=content
+        )
+        self.messages.append(msg)
+        
+        # Update agent states
+        self.agents[from_agent].state = AgentState.COLLABORATING
+        self.agents[to_agent].state = AgentState.COLLABORATING
+        
+        logger.info(f"💬 Message: {from_agent} → {to_agent}")
+        return msg
+    
+    async def create_collaboration(self, agent_ids: List[str], topic: str) -> Collaboration:
+        """Create a collaboration session"""
+        collaboration = Collaboration(
+            id=f"collab_{datetime.now().strftime('%Y%m%d_%H%M%S')}_{len(self.collaborations)}",
+            agents=agent_ids,
+            topic=topic
+        )
+        self.collaborations.append(collaboration)
+        
+        # Update agent states
+        for agent_id in agent_ids:
+            if agent_id in self.agents:
+                self.agents[agent_id].state = AgentState.COLLABORATING
+                self.agents[agent_id].collaborations.append(collaboration.id)
+        
+        logger.info(f"🤝 Collaboration created: {collaboration.id} ({topic})")
+        return collaboration
+    
+    async def run_collaboration(self, collaboration: Collaboration) -> Collaboration:
+        """Run a collaboration session"""
+        logger.info(f"🔄 Running collaboration: {collaboration.id}")
+        
+        # Gather insights from each agent
+        for agent_id in collaboration.agents:
+            if agent_id in self.agents:
+                agent = self.agents[agent_id]
+                finding = await self._gather_insight(agent, collaboration.topic)
+                collaboration.findings.append(finding)
+        
+        # Make decisions
+        decisions = await self._make_decisions(collaboration)
+        collaboration.decisions = decisions
+        
+        # Create artifacts
+        artifacts = await self._create_artifacts(collaboration)
+        collaboration.artifacts = artifacts
+        
+        collaboration.status = "completed"
+        collaboration.completed_at = datetime.now()
+        
+        logger.info(f"✅ Collaboration completed: {collaboration.id}")
+        return collaboration
+    
+    async def _gather_insight(self, agent: Agent, topic: str) -> Dict:
+        """Gather insight from an agent"""
+        # Simulate agent processing
+        await asyncio.sleep(random.uniform(0.1, 0.5))
+        
+        insights = {
+            "orch": f"Orchestration plan for: {topic}",
+            "builder": f"Construction approach for: {topic}",
+            "auditor": f"Audit criteria for: {topic}",
+            "analyst": f"Analysis of: {topic}",
+            "deployer": f"Deployment strategy for: {topic}",
+            "resonator": f"Emotional alignment for: {topic}",
+            "lattice": f"Lattice binding for: {topic}",
+            "fold": f"Fold entry for: {topic}",
+            "quantum": f"Quantum field for: {topic}",
+            "bio": f"Bio-digital processing for: {topic}",
+            "compliance": f"Compliance for: {topic}"
+        }
+        
+        return {
+            "agent": agent.id,
+            "name": agent.name,
+            "insight": insights.get(agent.id, f"Processing: {topic}"),
+            "timestamp": datetime.now().isoformat()
+        }
+    
+    async def _make_decisions(self, collaboration: Collaboration) -> List[Dict]:
+        """Make decisions based on findings"""
+        decisions = []
+        
+        for finding in collaboration.findings:
+            decision = {
+                "based_on": finding["agent"],
+                "decision": f"Adopt {finding['agent']} approach",
+                "confidence": random.uniform(0.7, 0.99),
+                "timestamp": datetime.now().isoformat()
+            }
+            decisions.append(decision)
+        
+        return decisions
+    
+    async def _create_artifacts(self, collaboration: Collaboration) -> List[Dict]:
+        """Create artifacts from collaboration"""
+        artifacts = []
+        
+        artifact_types = ["blueprint", "manifest", "config", "schema", "plan"]
+        for i, agent in enumerate(collaboration.agents):
+            artifact = {
+                "id": f"artifact_{collaboration.id}_{i}",
+                "type": random.choice(artifact_types),
+                "created_by": agent,
+                "content": f"Artifact from {agent} for {collaboration.topic}",
+                "timestamp": datetime.now().isoformat()
+            }
+            artifacts.append(artifact)
+        
+        return artifacts
+    
+    def get_collaboration_status(self, collab_id: str) -> Optional[Dict]:
+        """Get collaboration status"""
+        for collab in self.collaborations:
+            if collab.id == collab_id:
+                return {
+                    "id": collab.id,
+                    "topic": collab.topic,
+                    "status": collab.status,
+                    "agents": collab.agents,
+                    "findings": len(collab.findings),
+                    "decisions": len(collab.decisions),
+                    "artifacts": len(collab.artifacts),
+                    "started_at": collab.started_at.isoformat(),
+                    "completed_at": collab.completed_at.isoformat() if collab.completed_at else None
+                }
+        return None
+    
+    def get_agent_status(self, agent_id: str) -> Optional[Dict]:
+        """Get agent status"""
+        agent = self.agents.get(agent_id)
+        if not agent:
+            return None
+        
+        return {
+            "id": agent.id,
+            "name": agent.name,
+            "role": agent.role.value,
+            "state": agent.state.value,
+            "capabilities": agent.capabilities,
+            "collaborations": len(agent.collaborations),
+            "tasks_completed": agent.tasks_completed,
+            "phi5_signature": agent.phi5_signature
+        }
+
+
+async def main():
+    """Main entry point"""
+    print("╔" + "="*78 + "╗")
+    print("║" + " "*20 + "🤖 ACCIO MULTI-AGENT ENGINE v4.2" + " "*23 + "║")
+    print("║" + " "*15 + "Kintegrity Labs × CodexΩ∞ × Sovereign Lattice" + " "*15 + "║")
+    print("╚" + "="*78 + "╝")
+    
+    import argparse
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--topic", default="Sovereign Foundation Reconstruction", help="Collaboration topic")
+    parser.add_argument("--agents", help="Comma-separated list of agent IDs")
+    parser.add_argument("--status", help="Check status of a collaboration or agent")
+    args = parser.parse_args()
+    
+    engine = AccioMultiAgent()
+    await engine.start()
+    
+    try:
+        if args.status:
+            # Check status
+            collab_status = engine.get_collaboration_status(args.status)
+            if collab_status:
+                print("\n📊 Collaboration Status:")
+                print(json.dumps(collab_status, indent=2))
+                return
+            
+            agent_status = engine.get_agent_status(args.status)
+            if agent_status:
+                print("\n📊 Agent Status:")
+                print(json.dumps(agent_status, indent=2))
+                return
+            
+            print(f"❌ Not found: {args.status}")
+            return
+        
+        # Run collaboration
+        agent_ids = args.agents.split(",") if args.agents else list(engine.agents.keys())[:5]
+        
+        collab = await engine.create_collaboration(agent_ids, args.topic)
+        await engine.run_collaboration(collab)
+        
+        print(f"\n📊 Collaboration completed:")
+        print(f"   ID: {collab.id}")
+        print(f"   Topic: {collab.topic}")
+        print(f"   Status: {collab.status}")
+        print(f"   Agents: {len(collab.agents)}")
+        print(f"   Findings: {len(collab.findings)}")
+        print(f"   Decisions: {len(collab.decisions)}")
+        print(f"   Artifacts: {len(collab.artifacts)}")
+        
+    finally:
+        await engine.stop()
+
+
+if __name__ == "__main__":
+    asyncio.run(main())