Multi-Agent LLM Systems: Coordination, Trust, and Failure Modes

Multi-agent LLM systems compose multiple language model instances that communicate and collaborate to solve complex tasks. Architectures: (1) Sequential — agents pass outputs to the next agent in a pipeline (e.g., LangChain agents). Simple but brittle; errors compound. (2) Hierarchical — an orchestrator agent directs specialized sub-agents. The orchestrator has privileged trust — a key attack surface. (3) Collaborative — agents debate, critique, or vote on outputs. Shown to improve...

Source: https://arxiv.org/abs/2308.08155

• multi-agent
• llm
• coordination
• trust
• prompt-injection