pipecat-ai/pipecat-examples

What it solves

This repository provides a comprehensive library of intermediate and advanced implementation examples for developers using Pipecat, an open-source framework for building voice and multimodal AI applications. It bridges the gap between basic quickstarts and production-ready deployments by demonstrating how to integrate AI agents with real-world communication channels.

How it works

The project organizes a wide array of reference implementations into categories based on the desired output or integration. Developers can clone these examples to see how to combine Pipecat's core framework with specific services like Twilio, Telnyx, or Gemini Live, and apply advanced techniques like speculative inference to reduce latency or OpenTelemetry for observability.

Who it’s for

It is designed for developers building real-time voice AI bots, multimodal agents, and interactive communication apps that require integration with telephony (PSTN/SIP), WebRTC, or specialized AI APIs.

Highlights

• Telephony Integration: Production-ready examples for Twilio, Telnyx, Plivo, and Exotel.
• Web & Client Support: Reference apps for React, JavaScript, Swift, Kotlin, and React Native.
• Advanced Latency Control: Implementation of speculative user aggregation to minimize response delays.
• Observability: Integration examples for tracing and monitoring via Langfuse, LangSmith, and Jaeger.
• Diverse Use Cases: Demos ranging from AI study companions and multi-language translation to IVR navigation and interactive storytelling.