ac0643f82f
Add a new user frame filter concept that runs inside the aggregator, before VAD processing. This blocks transcriptions, VAD events, and interruptions until a wake phrase is detected, solving ordering conflicts that prevented wake phrase detection from working as a user turn start strategy. - Add BaseUserFrameFilter base class and WakePhraseUserFrameFilter with LISTENING/INACTIVE state machine, timeout, and single_activation - Add user_frame_filters param to LLMUserAggregatorParams with _maybe_filter_frame() running after mute check, before VAD - Deprecate WakeCheckFilter in favor of the new filter - Update 10-wake-phrase.py example
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