Having examined the architecture and operation of individual LLM agents, including their reasoning, planning, and memory capabilities, we now shift focus to systems composed of multiple interacting agents. This chapter introduces the core concepts needed to design, build, and manage environments where several LLM agents operate concurrently.
You will learn the fundamental principles of multi-agent system (MAS) design specifically applied to LLMs. We will cover essential aspects such as establishing communication protocols between agents, structuring interactions for collaborative problem-solving using patterns like specialized roles or team hierarchies, and implementing coordination mechanisms for tasks requiring synchronized actions or shared resource management. We will also consider scenarios involving competitive interactions and negotiation. Finally, we touch upon the practical considerations when developing these potentially complex systems.
5.1 Principles of Multi-Agent System (MAS) Design
5.2 Communication Protocols for LLM Agents
5.3 Collaborative Problem Solving Architectures
5.4 Agent Roles and Specialization
5.5 Coordination Mechanisms
5.6 Competitive and Negotiation Scenarios
5.7 Challenges in Scaling Multi-Agent Systems
5.8 Hands-on Practical: Building a Collaborative Agent Team
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