b8a1f45d4c
* Improve HeyGen LiveAvatar plugin reliability and performance - Add WebSocket ready gate: wait for session.state_updated connected event before sending commands (prevents silently dropped messages) - Add keep-alive mechanism: send session.keep_alive every 2.5 min to prevent 5-minute inactivity timeout - Optimize audio chunking: 600ms first chunk for faster initial response, 1s subsequent chunks for efficient streaming - Fix audio buffer flush: send remaining buffered audio on utterance end instead of discarding it - Fix WS state cleanup: properly reset connected/ready state when WebSocket drops unexpectedly - Add livekit_config passthrough in LiveAvatar session token creation - Replace stray print() with logger.debug() * Fix HeyGenOutputTransport.start() signature and use 400ms first chunk - Update transport.py to match new client.start() signature (no audio_chunk_size param) - Change first chunk size from 600ms to 400ms per feedback * Fix transport audio resampling and client.start() error propagation - Add audio resampling in HeyGenOutputTransport.write_audio_frame() to ensure audio is always 24kHz before sending to HeyGen (was sending at pipeline sample rate, causing garbled audio) - Raise exception on WS ready timeout instead of silently returning, preventing transport from appearing ready when WS connection failed * Fix session readiness gate to work with LITE mode LITE mode does not send session.state_updated WS events. Instead, use a dual-signal _session_ready event that fires on either: - WS session.state_updated connected (FULL mode) - LiveKit participant connected (LITE mode) Also reorder start() to connect both WS and LiveKit before waiting, since the WS events may depend on LiveKit being connected. Verified with live sandbox session - all tests pass. * Simplify session readiness to use only WS ready gate Remove _session_ready dual-signal and use only _ws_ready, which fires on the session.state_updated connected WS event. Increase timeout to 30s. LiveKit is connected before waiting so the WS event can arrive. * Reduce WS ready gate timeout back to 10s * Remove WS ready gate (session.state_updated not reliably received) The session.state_updated connected event is not reliably received via the websockets library. Remove the gate for now and assume the session is ready after WS + LiveKit connect. Keep-alive, chunking, buffer flush, state cleanup, and other improvements remain.
🎙️ Pipecat: Real-Time Voice & Multimodal AI Agents
Pipecat is an open-source Python framework for building real-time voice and multimodal conversational agents. Orchestrate audio and video, AI services, different transports, and conversation pipelines effortlessly—so you can focus on what makes your agent unique.
Want to dive right in? Run
pipecat init quickstartor follow the quickstart guide.
🚀 What You Can Build
- Voice Assistants – natural, streaming conversations with AI
- AI Companions – coaches, meeting assistants, characters
- Multimodal Interfaces – voice, video, images, and more
- Interactive Storytelling – creative tools with generative media
- Business Agents – customer intake, support bots, guided flows
- Complex Dialog Systems – design logic with structured conversations
🧠 Why Pipecat?
- Voice-first: Integrates speech recognition, text-to-speech, and conversation handling
- Pluggable: Supports many AI services and tools
- Composable Pipelines: Build complex behavior from modular components
- Real-Time: Ultra-low latency interaction with different transports (e.g. WebSockets or WebRTC)
🌐 Pipecat Ecosystem
📱 Client SDKs
Building client applications? You can connect to Pipecat from any platform using our official SDKs:
JavaScript | React | React Native | Swift | Kotlin | C++ | ESP32
🧭 Structured conversations
Looking to build structured conversations? Check out Pipecat Flows for managing complex conversational states and transitions.
🪄 Beautiful UIs
Want to build beautiful and engaging experiences? Checkout the Voice UI Kit, a collection of components, hooks and templates for building voice AI applications quickly.
🛠️ Create and deploy projects
Create a new project in under a minute with the Pipecat CLI. Then use the CLI to monitor and deploy your agent to production.
🔍 Debugging
Looking for help debugging your pipeline and processors? Check out Whisker, a real-time Pipecat debugger.
🖥️ Terminal
Love terminal applications? Check out Tail, a terminal dashboard for Pipecat.
🤖 Claude Code Skills
Use Pipecat Skills with Claude Code to scaffold projects, deploy to Pipecat Cloud, and more. Install the marketplace with:
claude plugin marketplace add pipecat-ai/skills
and install any of the available plugins.
🧩 Community Integrations
Build and share your own Pipecat service integrations! Browse existing community integrations or check out our guide to create your own.
📺️ Pipecat TV Channel
Catch new features, interviews, and how-tos on our Pipecat TV channel.
🎬 See it in action
🧩 Available services
📚 View full services documentation →
⚡ Getting started
You can get started with Pipecat running on your local machine, then move your agent processes to the cloud when you're ready.
-
Install uv
curl -LsSf https://astral.sh/uv/install.sh | shNeed help? Refer to the uv install documentation.
-
Install the module
# For new projects uv init my-pipecat-app cd my-pipecat-app uv add pipecat-ai # Or for existing projects uv add pipecat-ai -
Set up your environment
cp env.example .env -
To keep things lightweight, only the core framework is included by default. If you need support for third-party AI services, you can add the necessary dependencies with:
uv add "pipecat-ai[option,...]"
Using pip? You can still use
pip install pipecat-aiandpip install "pipecat-ai[option,...]"to get set up.
🧪 Code examples
- Foundational — small snippets that build on each other, introducing one or two concepts at a time
- Example apps — complete applications that you can use as starting points for development
🛠️ Contributing to the framework
Prerequisites
Minimum Python Version: 3.11 Recommended Python Version: >= 3.12
Setup Steps
-
Clone the repository and navigate to it:
git clone https://github.com/pipecat-ai/pipecat.git cd pipecat -
Install development and testing dependencies:
uv sync --group dev --all-extras \ --no-extra gstreamer \ --no-extra local \ -
Install the git pre-commit hooks:
uv run pre-commit install
Note
: Some extras (local, gstreamer) require system dependencies. See documentation if you encounter build errors.
Claude Code Skills
Install development workflow skills for contributing to Pipecat with Claude Code:
claude plugin marketplace add pipecat-ai/pipecat
claude plugin install pipecat-dev@pipecat-dev-skills
Running tests
To run all tests, from the root directory:
uv run pytest
Run a specific test suite:
uv run pytest tests/test_name.py
🤝 Contributing
We welcome contributions from the community! Whether you're fixing bugs, improving documentation, or adding new features, here's how you can help:
- Found a bug? Open an issue
- Have a feature idea? Start a discussion
- Want to contribute code? Check our CONTRIBUTING.md guide
- Documentation improvements? Docs PRs are always welcome
Before submitting a pull request, please check existing issues and PRs to avoid duplicates.
We aim to review all contributions promptly and provide constructive feedback to help get your changes merged.