A collection of example applications for Pipecat, an open-source framework designed for building voice and multimodal AI applications. It serves as a learning resource for developers, offering practical patterns and intermediate-to-advanced use cases to accelerate the development of custom AI-powered voice interfaces and interactive experiences.

How It Works

The examples demonstrate various architectural patterns and integrations within the Pipecat ecosystem. They showcase how to leverage Pipecat's capabilities for real-time voice processing, client-server communication, telephony integrations (PSTN, SIP), and multimodal interactions. The approach emphasizes modularity and provides ready-to-adapt code for common voice AI application needs.

Quick Start & Requirements

• Prerequisites: Python 3.10+, API keys for AI services (e.g., OpenAI, Deepgram, Cartesia). Individual examples may have additional service-specific requirements.
• Getting Started: Refer to the main Pipecat repository for a quickstart example to get a bot running in approximately 5 minutes. This repository focuses on intermediate and advanced patterns.
• Documentation: docs.pipecat.ai

Highlighted Details

• Telephony: Comprehensive examples for phone bots using Twilio, Telnyx, Plivo, Exotel, and PSTN/SIP dial-in/out capabilities, including IVR navigation.
• Client Applications: Demonstrations of client-server architectures with support for React, JavaScript, Swift, Kotlin, and React Native, alongside real-time communication patterns like WebSockets, instant voice, and P2P WebRTC.
• Multimodal & Creative: Examples for interactive storytelling, AI-driven word games using Gemini Live, and multi-step task automation with AWS Strands.
• Deployment: Production deployment patterns are illustrated using platforms like Pipecat Cloud, Fly.io, Modal, and Cerebrium.

Maintenance & Community

• Community: Join the Discord community at discord.gg/pipecat.
• Support: Bugs and example requests should be filed as issues in the main pipecat-ai/pipecat repository.

Licensing & Compatibility

• The provided README does not specify the license type or compatibility notes for commercial use.

Limitations & Caveats

• The README does not detail specific limitations, alpha statuses, known bugs, or deprecation warnings for these examples.