Multi-Agent System Orchestration
Architecture and deployment of multi-agent systems (like CrewAI, LangGraph) where specialized AI agents collaborate to solve complex tasks. Real-world example: A financial research system where a 'Data Gatherer' agent pulls real-time market data, a 'Quant Analyst' agent processes the numbers, and a 'Report Writer' agent generates the final investment memo.
Node 1
Agent specialization and role definition
Node 2
Multi-agent communication protocols
Node 3
State management across agent workflows
Node 4
Human-in-the-loop review nodes
Node 5
Deterministic tool execution
Node 6
Performance monitoring and tracing
Process Flow
Phase 1
Workflow decomposition
Phase 2
Agent persona design
Phase 3
Tool integration
Phase 4
Graph/Sequence implementation
Phase 5
Simulation and tuning
Phase 6
Production deployment
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