# Voice Agents Examples This directory contains examples demonstrating various capabilities and integrations with the LiveKit Agents framework. ## Model Configuration Most examples use **LiveKit Inference** by default, which provides a unified API for accessing STT, LLM, and TTS models: ```python from livekit.agents import inference session = AgentSession( stt=inference.STT("deepgram/nova-3"), llm=inference.LLM("openai/gpt-4.1-mini"), tts=inference.TTS("cartesia/sonic-3"), ) ``` **Note:** Real-time voice-to-voice models (Amazon Nova Sonic, xAI Grok, etc.) are not supported by LiveKit Inference and must use the provider plugin directly. ## Table of Contents ### Getting Started - [`basic_agent.py`](./basic_agent.py) - A fundamental voice agent with multilingual STT, turn detection, preemptive generation, and metrics collection ### Real-time Models > **Note:** Real-time models use provider plugins directly. These examples require provider-specific API keys. - [`grok/`](./grok/) - xAI Grok Voice Agents API with built-in X.com and web search ### MCP & External Integrations - [`mcp/`](./mcp/) - Model Context Protocol (MCP) integration examples - [`mcp-agent.py`](./mcp/mcp-agent.py) - Connecting an agent to an MCP server - [`server.py`](./mcp/server.py) - MCP server example ### RAG & Knowledge Management - [`llamaindex-rag/`](./llamaindex-rag/) - RAG implementation with LlamaIndex - [`chat_engine.py`](./llamaindex-rag/chat_engine.py) - Chat engine integration - [`query_engine.py`](./llamaindex-rag/query_engine.py) - Query engine used as a function tool - [`retrieval.py`](./llamaindex-rag/retrieval.py) - Document retrieval ### Tracing & Error Handling - [`otel_trace.py`](./otel_trace.py) - OpenTelemetry (OTLP) integration for conversation tracing ## Additional Resources - [LiveKit Agents Documentation](https://docs.livekit.io/agents/) - [Agents Starter Example](https://github.com/livekit-examples/agent-starter-python) - [More Agents Examples](https://github.com/livekit-examples/python-agents-examples)