Multi-Agent Systems
Build sophisticated systems where multiple AI agents collaborate to achieve complex goals. Learn how to orchestrate agent interactions, manage shared resources, and implement robust communication protocols.
Creating Agent Systems
Set up a collaborative system of specialized agents:
agent_system.py
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from voxin import AgentSystem, Agent, VoiceConfig# Create a system of collaborative agentssystem = AgentSystem(name"Customer Service Team")# Create specialized agentsgreeter = Agent( name="Greeter", role="Initial customer contact", voice_config=VoiceConfig(voice_id"sophie-v1"))support = Agent( name="Support Specialist", role="Technical problem solving", voice_config=VoiceConfig(voice_id"james-v1"))scheduler = Agent( name="Scheduler", role="Appointment management", voice_config=VoiceConfig(voice_id"clara-v1"))# Add agents to the systemsystem.add_agents([greeter, support, scheduler])# Define system-wide behaviors@system.on_customer_interactionasync def handle_customer(interaction): # Greeter handles initial contact initial_response = await greeter.handle_greeting(interaction) if interaction.requires_technical_support: # Hand off to support specialist await support.handle_technical_issue(interaction) elif interaction.requires_scheduling: # Hand off to scheduler await scheduler.handle_appointment(interaction)
System Components
- ✓ Agent roles and specializations
- ✓ Task distribution
- ✓ Context sharing
- ✓ Workflow management
Inter-Agent Communication
Implement communication protocols between agents:
communication.py
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# Define inter-agent communication@support.on_need_schedulingasync def request_scheduler(context): # Support agent can request scheduler's help scheduling_result = await scheduler.schedule_appointment(context) await support.inform_customer(scheduling_result)# Define collaborative problem solving@system.on_complex_issueasync def handle_complex_issue(issue): # Multiple agents can work together analysis = await support.analyze_issue(issue) if analysis.needs_collaboration: solution = await system.collaborate([support, scheduler], issue) await greeter.communicate_solution(solution)
Communication Features
- ✓ Direct agent-to-agent messaging
- ✓ Broadcast communications
- ✓ Context preservation
- ✓ Error handling
System Monitoring
Monitor and maintain system health:
monitoring.py
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from voxin import SystemMonitor# Set up system monitoringmonitor = SystemMonitor(system)@monitor.on_performance_issueasync def handle_performance(issue): # Automatically adjust system resources await system.optimize_resources(issue.recommendations)@monitor.on_agent_failureasync def handle_failure(agent, error): # Implement failover and recovery backup_agent = await system.activate_backup(agent) await system.transfer_context(agent, backup_agent)
Best Practices
- ✓ Implement clear role hierarchies
- ✓ Design robust failover mechanisms
- ✓ Monitor system performance
- ✓ Maintain consistent communication protocols
- ✓ Document agent interactions