5978a0b8f5
- Agent roles and coordination features - Chat API integration testing - New configuration and workspace management 🤖 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
|
||
"""
|
||
Test script to trigger and observe bzzz meta discussion
|
||
"""
|
||
|
||
import json
|
||
import time
|
||
import requests
|
||
from datetime import datetime
|
||
|
||
def test_meta_discussion():
|
||
"""Test the Antennae meta discussion by simulating a complex task"""
|
||
|
||
print("🎯 Testing Bzzz Antennae Meta Discussion")
|
||
print("=" * 50)
|
||
|
||
# Test 1: Check if the P2P mesh is active
|
||
print("1. Checking P2P mesh status...")
|
||
|
||
# We can't directly inject into the P2P mesh from here, but we can:
|
||
# - Check the bzzz service logs for meta discussion activity
|
||
# - Create a mock scenario description
|
||
|
||
mock_scenario = {
|
||
"task_type": "complex_architecture_design",
|
||
"description": "Design a microservices architecture for a distributed AI system with P2P coordination",
|
||
"complexity": "high",
|
||
"requires_collaboration": True,
|
||
"estimated_agents_needed": 3
|
||
}
|
||
|
||
print(f"📋 Mock Complex Task:")
|
||
print(f" Type: {mock_scenario['task_type']}")
|
||
print(f" Description: {mock_scenario['description']}")
|
||
print(f" Complexity: {mock_scenario['complexity']}")
|
||
print(f" Collaboration Required: {mock_scenario['requires_collaboration']}")
|
||
|
||
# Test 2: Demonstrate what would happen in meta discussion
|
||
print("\n2. Simulating Antennae Meta Discussion Flow:")
|
||
print(" 🤖 Agent A (walnut): 'I'll handle the API gateway design'")
|
||
print(" 🤖 Agent B (acacia): 'I can work on the data layer architecture'")
|
||
print(" 🤖 Agent C (ironwood): 'I'll focus on the P2P coordination logic'")
|
||
print(" 🎯 Meta Discussion: Agents coordinate task splitting and dependencies")
|
||
|
||
# Test 3: Show escalation scenario
|
||
print("\n3. Human Escalation Scenario:")
|
||
print(" ⚠️ Agents detect conflicting approaches to distributed consensus")
|
||
print(" 🚨 Automatic escalation triggered after 3 rounds of discussion")
|
||
print(" 👤 Human expert summoned via N8N webhook")
|
||
|
||
# Test 4: Check current bzzz logs for any meta discussion activity
|
||
print("\n4. Checking recent bzzz activity...")
|
||
|
||
try:
|
||
# This would show any recent meta discussion logs
|
||
import subprocess
|
||
result = subprocess.run([
|
||
'journalctl', '-u', 'bzzz.service', '--no-pager', '-l', '-n', '20'
|
||
], capture_output=True, text=True, timeout=10)
|
||
|
||
if result.returncode == 0:
|
||
logs = result.stdout
|
||
if 'meta' in logs.lower() or 'antennae' in logs.lower():
|
||
print(" ✅ Found meta discussion activity in logs!")
|
||
# Show relevant lines
|
||
for line in logs.split('\n'):
|
||
if 'meta' in line.lower() or 'antennae' in line.lower():
|
||
print(f" 📝 {line}")
|
||
else:
|
||
print(" ℹ️ No recent meta discussion activity (expected - no active tasks)")
|
||
else:
|
||
print(" ⚠️ Could not access bzzz logs")
|
||
|
||
except Exception as e:
|
||
print(f" ⚠️ Error checking logs: {e}")
|
||
|
||
# Test 5: Show what capabilities support meta discussion
|
||
print("\n5. Meta Discussion Capabilities:")
|
||
capabilities = [
|
||
"meta-discussion",
|
||
"task-coordination",
|
||
"collaborative-reasoning",
|
||
"human-escalation",
|
||
"cross-repository-coordination"
|
||
]
|
||
|
||
for cap in capabilities:
|
||
print(f" ✅ {cap}")
|
||
|
||
print("\n🎯 Meta Discussion Test Complete!")
|
||
print("\nTo see meta discussion in action:")
|
||
print("1. Configure repositories in Hive with 'bzzz_enabled: true'")
|
||
print("2. Create complex GitHub issues labeled 'bzzz-task'")
|
||
print("3. Watch agents coordinate via Antennae P2P channel")
|
||
print("4. Monitor logs: journalctl -u bzzz.service -f | grep -i meta")
|
||
|
||
if __name__ == "__main__":
|
||
test_meta_discussion() |