- Enhance TranscriptHandler to aggregate transcript fragments into complete sentences using match_endofsentence() - Add Whisker debugger integration for real-time pipeline visualization - Implement sentence buffering for both user and assistant messages - Add finalize_partial_sentences() method to handle incomplete sentences on disconnect - Improves transcript readability by reducing fragmented output Changes: - Import match_endofsentence utility for sentence boundary detection - Add pipecat_whisker.WhiskerObserver for debugging capabilities - Modify on_transcript_update() to accumulate and aggregate messages - Create _save_sentence() helper method for complete sentence handling - Update client disconnect handler to preserve partial sentences
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