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- Create new OpenAIAgentService that integrates OpenAI Agents SDK with Pipecat - Support for agent loops, handoffs, guardrails, and session management - Add streaming and non-streaming response modes - Include comprehensive tool integration and error handling - Add optional dependency for openai-agents package - Create foundational examples showing basic usage and agent handoffs - Add comprehensive tests with mocked dependencies - Include detailed documentation and README Key features: - Real-time streaming responses compatible with Pipecat pipelines - Agent handoffs for specialized task delegation - Tool calling with automatic schema generation - Input/output guardrails for safety and validation - Session context management for conversation continuity - Built-in tracing and monitoring integration Examples: - 45-openai-agent-basic.py: Basic agent with weather and trivia tools - 46-openai-agent-handoffs.py: Multi-agent system with specialist handoffs
Pipecat Examples
This directory contains examples to help you learn how to build with Pipecat.
Getting Started
New to Pipecat? Start here:
- Quickstart - Get your first voice AI bot running in 5 minutes (coming soon)
- Client/Server Web - Learn to build web applications with Pipecat's client SDKs (coming soon)
- Phone Bot with Twilio - Connect your bot to a phone number (coming soon)
Foundational Examples
Single-file examples that introduce core Pipecat concepts one at a time. These examples:
- Build on each other progressively
- Focus on specific features or integrations
- Are used for testing with every Pipecat release
See the Foundational Examples README for the complete list.
More Advanced Examples
Ready to explore complex use cases? Visit pipecat-examples for:
- Production-ready applications
- Multi-platform client implementations
- Telephony integrations
- Multimodal and creative applications
- Deployment and monitoring examples