099814d74a
Adds SmallestTTSService, a WebSocket-based TTS service using Smallest AI's Lightning v3.1 model. Follows current Pipecat service conventions: - SmallestTTSSettings dataclass with runtime-updatable settings (voice, language, speed, etc.) - Reconnects on model change; keepalive every 30s to prevent idle timeout - TTS settings default to None so the API applies its own defaults - Model enum: SmallestTTSModel.LIGHTNING_V3_1 Includes a foundational example (07zl-interruptible-smallest.py) using Deepgram STT + Smallest TTS + OpenAI LLM. STT integration will follow in a separate PR once the hallucination/finalize behaviour is resolved. Made-with: Cursor
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