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Add OpenAIResponsesLLMService using the Responses API, with a dedicated adapter that converts LLMContext messages to Responses API input items (system→developer, tool_calls→function_call, tool→function_call_output, multimodal content conversion, and tools schema flattening). - New adapter: open_ai_responses_adapter.py - New service: openai/responses/llm.py - Examples: 07-interruptible and 14-function-calling variants - 19 unit tests for adapter conversion logic - Eval entries for both examples
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