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livekit-function-calling

Implement tool use and function calling for LiveKit AI agents.

1|Updated Mar 11, 2026
Search Tags:#llm#agent#tool use#rpc#function calling#livekit
One-click install
npx skills add https://github.com/FutureAtoms/claude-skills-backup --skill livekit-function-calling
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: livekit-function-calling
Source: https://github.com/FutureAtoms/claude-skills-backup/tree/main/livekit-function-calling
Command: npx skills add https://github.com/FutureAtoms/claude-skills-backup --skill livekit-function-calling

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables AI agents to interact with external tools and services by defining and executing functions, bridging the gap between LLM capabilities and real-world actions.

Core Features & Use Cases

  • Tool Integration: Define Python or JavaScript functions that your LLM agent can call.
  • Schema Definition: Supports basic function tools, raw schemas for complex APIs, and RPC for frontend interactions.
  • Use Case: An agent needs to check the weather. It calls a get_weather function tool, passing the location, and receives the weather information back to inform the user.

Quick Start

Use the livekit-function-calling skill to implement tool use and function calling for LiveKit AI agents.

Frequently Asked Questions about livekit-function-calling

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate external function calling with LiveKit AI agents?▼

Integrate external function calling with LiveKit AI agents by defining Python or JS functions, raw schemas, or RPC endpoints that the LLM agent can invoke to interact with dynamic external services.

Can I use Python and JavaScript functions for LLM tool use in LiveKit?▼

Yes, you can define function tools using either Python or JavaScript, allowing your LLM agent to execute deterministic tasks and bridge its capabilities with real-world actions.

How does RPC work for LiveKit agent handoffs and frontend interactions?▼

RPC enables LiveKit agents to communicate with external tool servers and frontend interfaces, supporting remote procedure calls for agent handoffs and dynamic external service integration.

What is the best way to define complex API schemas for LLM function tools?▼

For complex APIs, use raw schema definitions to map out function tools, enabling the LLM agent to accurately parse parameters and interact with dynamic external environments.

Does the LiveKit function calling skill support MCP for external tool server communication?▼

Yes, the skill supports MCP for external tool server communication, allowing AI agents to perform deterministic tasks and interact seamlessly with dynamic environments during handoffs.

Why do I need function calling for my LiveKit voice agent?▼

Function calling bridges the gap between LLM capabilities and real-world actions, enabling agents to perform deterministic tasks like checking weather by calling defined external functions.

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