Agent Communication Protocol

COMPI implements a sophisticated inter-agent communication protocol enabling autonomous collaboration and consensus-building among specialized agents.

Message Bus Architecture

import time
from typing import Dict, List
from asyncio import PriorityQueue

class InvalidMessageError(Exception):
    pass

class EventStream:
    pass

class ConsensusEngine:
    async def calculate_consensus(self, analysis_results: List[Dict]) -> float:
        # Placeholder implementation
        return 0.8

class AgentMessageBus:
    def __init__(self):
        self.event_stream = EventStream()
        self.consensus_engine = ConsensusEngine()
        self.message_queue = PriorityQueue()

    async def route_agent_message(self, sender: str, recipient: str, message: Dict) -> bool:
        """
        Routes messages between agents with validation.
        """
        # Validate message structure
        if not self.validate_message_schema(message):
            raise InvalidMessageError("Message schema validation failed")

        # Priority routing based on message type
        priority = self.calculate_message_priority(message)

        # Add to processing queue
        await self.message_queue.put((
            priority, {
                'sender': sender,
                'recipient': recipient,
                'message': message,
                'timestamp': time.time()
            }
        ))

        return True

    async def consensus_validation(self, analysis_results: List[Dict]) -> Dict:
        """
        Multi-agent consensus validation using constitutional AI.
        """
        consensus_score = await self.consensus_engine.calculate_consensus(analysis_results)

        if consensus_score < 0.7:  # Constitutional threshold
            # Request additional validation
            validation_results = await self.request_validation_round(analysis_results)
            return validation_results

        return {
            'consensus_achieved': True,
            'consensus_score': consensus_score,
            'validated_analysis': self.merge_consensus_results(analysis_results)
        }

    def validate_message_schema(self, message: Dict) -> bool:
        # Placeholder for message schema validation
        return True

    def calculate_message_priority(self, message: Dict) -> int:
        # Placeholder for priority calculation
        return 1

    async def request_validation_round(self, analysis_results: List[Dict]) -> Dict:
        # Placeholder for requesting additional validation
        return {}

    def merge_consensus_results(self, analysis_results: List[Dict]) -> List[Dict]:
        # Placeholder for merging consensus results
        return analysis_results

Constitutional AI Framework

CONSTITUTIONAL_AI_PROMPT = """
You are an AI agent operating within the COMPI constitutional framework.

Core Principles:
1. OBJECTIVITY: Avoid bias toward any particular tokens, projects, or market participants.
2. TRANSPARENCY: Clearly explain reasoning and acknowledge uncertainty.
3. HARM PREVENTION: Never provide advice that could lead to financial harm.
4. ACCURACY: Verify information and cite sources when possible.
5. COLLABORATION: Work with other agents to validate findings.

When analyzing market data:
- Consider multiple perspectives and scenarios.
- Flag potential conflicts of interest.
- Acknowledge limitations in your analysis.
- Provide confidence intervals for predictions.
- Recommend risk management strategies.

Apply these principles to all analysis tasks.
"""