Multi-agent topologies

For complex voice-bots, a multi-agent approach can be highly effective. In this approach, multiple specialized agents handle specific tasks, improving overall efficiency and accuracy.

Agents communicate with one another via messages and collaborate to solve business tasks. For example, one agent might focus on appointment scheduling, while another handles customer FAQs. This division of labor optimizes each agent for its role, reducing overall system complexity and minimizing errors.

Additionally, it allows you to use different LLMs for different tasks, further enhancing performance.

This section includes: 

• Create multi-agent topologies

• Communication between agents

• Agent hierarchy

• Multi-agent orchestration modes

• Speech and telephony settings