What problem does it solve?
This Skill helps you build and deploy production voice agents that can handle speech-to-text, text-to-speech, interruptions, and multi-agent handoffs without manually managing the full audio orchestration stack.
Core Features & Use Cases
- Real-time voice agent deployment: Create a Python voice agent using the Cartesia Line SDK and deploy it with the
cartesia CLI for managed auto-scaling.
- LLM tool calling and multi-agent workflows: Use LiteLLM-backed LLM providers plus built-in and custom tools to coordinate tasks and transfer conversations between specialized agents.
- Interruption-safe conversations: Support real-time barge-in behavior so the agent can stop and recover when the caller interrupts.
Quick Start
Tell your AI agent to explain how to create a minimal Line SDK voice agent and deploy it using cartesia, including the required main.py entry point and cartesia.toml configuration.