Move the sentence vs token aggregation concern into text aggregators so all text flows through them regardless of mode. This enables pattern detection and tag handling to work in TOKEN mode. - Add TextAggregationMode enum (SENTENCE, TOKEN) as the user-facing TTS setting, separate from the internal AggregationType - Add TOKEN mode support to Simple, SkipTags, and PatternPair aggregators - Add text_aggregation_mode parameter to TTSService and all TTS subclasses - Deprecate aggregate_sentences in favor of text_aggregation_mode - Merge TTSService._process_text_frame() into a single codepath
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