How is coordination between LLM agents carried out?

Coordination between LLM agents (agents based on large language models) usually occurs through message exchanges and task distribution. Each agent can specialize in a specific function — for example, one handles text generation, another data analysis, and a third planning.

Main approaches:

• Message exchange: agents send requests and responses to each other, synchronizing their state.
• Shared context: agents work with a common knowledge base or memory to consider each other's actions.
• Orchestration: a central controller assigns tasks and collects results.

Example: in a customer support system, one LLM agent recognizes the request, another formulates a response, a third checks the correctness and ethics of the response, after which the result is sent to the user.