How can I effectively have multiple interview agents created on the same livekit project?

Thanks for reaching out, Sumanth. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.

I remember reading about a Modular Design and Multi-Agent Architecture. What is that about?

LiveKit's Modular Design and Multi-Agent Architecture are all about giving you the flexibility and scalability you need to build awesome AI-driven applications: • Modular Design: LiveKit uses a plugin-based system to bring in AI services like Speech-to-Text (STT), Text-to-Speech (TTS), and Large Language Models (LLMs). This means you can easily add or tweak features without messing with the core system—pretty handy, right? • Multi-Agent Architecture: Think of this as having a team of specialized agents, each focused on their own tasks. For example, in a Medical Office Triage system, agents like Triage, Support, and Billing all work together smoothly, keeping the conversation flowing naturally. • Context Transfer: When tasks move between agents, the conversation history and context stick around, so users don’t have to repeat themselves—making the experience feel seamless and thoughtful. • Scalability: This setup can handle complex workflows, like moving customers between departments in a Personal Shopper system, all while keeping things efficient and user-friendly. All these features come together to help you create powerful, adaptable apps tailored just for your needs. If you want to dive deeper or see some examples, just let me know—I’m here to help! Sources: Plugin System | livekit/livekit_composite | DeepWiki | LLM Integrations | livekit/livekit_composite | DeepWiki | complex-agents/personal_shopper/README.md | Agents Core Architecture | livekit/livekit_composite | DeepWiki