- Add DependencyDetector for intelligent task relationship analysis - Implement MetaCoordinator for multi-agent coordination sessions - Support AI-generated coordination plans and consensus detection - Add automatic escalation for unresolved coordination conflicts - Create comprehensive demo showing OAuth implementation coordination - Enable hop-limited message propagation in Antennae channels - Support custom dependency rules for project-specific patterns Features: - Cross-repository dependency detection (API, database, security) - Coordination session management with participant tracking - Intelligent conflict resolution and human escalation - Session cleanup and lifecycle management - Production-ready P2P coordination infrastructure 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
98 lines
3.8 KiB
Python
98 lines
3.8 KiB
Python
#!/usr/bin/env python3
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"""
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Test script to trigger and observe bzzz meta discussion
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"""
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import json
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import time
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import requests
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from datetime import datetime
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def test_meta_discussion():
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"""Test the Antennae meta discussion by simulating a complex task"""
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print("🎯 Testing Bzzz Antennae Meta Discussion")
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print("=" * 50)
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# Test 1: Check if the P2P mesh is active
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print("1. Checking P2P mesh status...")
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# We can't directly inject into the P2P mesh from here, but we can:
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# - Check the bzzz service logs for meta discussion activity
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# - Create a mock scenario description
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mock_scenario = {
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"task_type": "complex_architecture_design",
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"description": "Design a microservices architecture for a distributed AI system with P2P coordination",
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"complexity": "high",
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"requires_collaboration": True,
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"estimated_agents_needed": 3
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}
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print(f"📋 Mock Complex Task:")
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print(f" Type: {mock_scenario['task_type']}")
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print(f" Description: {mock_scenario['description']}")
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print(f" Complexity: {mock_scenario['complexity']}")
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print(f" Collaboration Required: {mock_scenario['requires_collaboration']}")
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# Test 2: Demonstrate what would happen in meta discussion
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print("\n2. Simulating Antennae Meta Discussion Flow:")
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print(" 🤖 Agent A (walnut): 'I'll handle the API gateway design'")
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print(" 🤖 Agent B (acacia): 'I can work on the data layer architecture'")
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print(" 🤖 Agent C (ironwood): 'I'll focus on the P2P coordination logic'")
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print(" 🎯 Meta Discussion: Agents coordinate task splitting and dependencies")
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# Test 3: Show escalation scenario
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print("\n3. Human Escalation Scenario:")
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print(" ⚠️ Agents detect conflicting approaches to distributed consensus")
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print(" 🚨 Automatic escalation triggered after 3 rounds of discussion")
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print(" 👤 Human expert summoned via N8N webhook")
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# Test 4: Check current bzzz logs for any meta discussion activity
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print("\n4. Checking recent bzzz activity...")
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try:
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# This would show any recent meta discussion logs
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import subprocess
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result = subprocess.run([
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'journalctl', '-u', 'bzzz.service', '--no-pager', '-l', '-n', '20'
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], capture_output=True, text=True, timeout=10)
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if result.returncode == 0:
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logs = result.stdout
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if 'meta' in logs.lower() or 'antennae' in logs.lower():
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print(" ✅ Found meta discussion activity in logs!")
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# Show relevant lines
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for line in logs.split('\n'):
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if 'meta' in line.lower() or 'antennae' in line.lower():
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print(f" 📝 {line}")
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else:
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print(" ℹ️ No recent meta discussion activity (expected - no active tasks)")
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else:
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print(" ⚠️ Could not access bzzz logs")
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except Exception as e:
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print(f" ⚠️ Error checking logs: {e}")
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# Test 5: Show what capabilities support meta discussion
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print("\n5. Meta Discussion Capabilities:")
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capabilities = [
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"meta-discussion",
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"task-coordination",
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"collaborative-reasoning",
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"human-escalation",
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"cross-repository-coordination"
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]
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for cap in capabilities:
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print(f" ✅ {cap}")
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print("\n🎯 Meta Discussion Test Complete!")
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print("\nTo see meta discussion in action:")
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print("1. Configure repositories in Hive with 'bzzz_enabled: true'")
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print("2. Create complex GitHub issues labeled 'bzzz-task'")
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print("3. Watch agents coordinate via Antennae P2P channel")
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print("4. Monitor logs: journalctl -u bzzz.service -f | grep -i meta")
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if __name__ == "__main__":
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test_meta_discussion() |