Individual LLM agents, even with communication capabilities, require structured coordination to tackle complex, multi-step problems. This chapter addresses the challenge of orchestrating these agent teams. We will examine how to construct sophisticated workflows that define agent collaboration. You will learn about various orchestration models, including state-driven and graph-based approaches, methods for adaptive task planning, and strategies for ensuring system reliability and fault tolerance. Additionally, we will discuss the integration of human-in-the-loop processes and techniques for managing larger agent ensembles.
4.1 Structuring Agent Collaboration through Workflows
4.2 State-Driven and Graph-Based Orchestration Models
4.3 Adaptive Task Planning and Adjustment
4.4 Managing Resources and Agent Workload Distribution
4.5 Addressing Failures and Ensuring Reliability in Agent Teams
4.6 Incorporating Human Oversight in Agent Operations
4.7 Techniques for Managing Large Ensembles of Agents
4.8 Practice: Building a Multi-Stage Workflow with Agent Collaboration
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