Orchidea 私有化语音栈（v0.2.0）

服务端只保留一套引擎，不再引入 paraformer / SenseVoice / SeACo / Fun-ASR-Nano / GPT-SoVITS：

编排收敛为 3 个服务（deploy/unified/docker-compose.voice.yml）：会议聚合 :10095、流式字幕 :10096、TTS :8003。端侧不加载 ASR/TTS 权重，唯一本地权重为 Silero VAD。

🎙️ 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 quickstart or 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

🧩 Multi-agent systems

Need multiple AI agents working together? Pipecat Subagents lets you build distributed multi-agent systems where each agent runs its own pipeline and communicates through a shared message bus. Hand off conversations between specialists, dispatch background tasks, and scale agents across processes or machines.

📱 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.

1. Install uv

   curl -LsSf https://astral.sh/uv/install.sh | sh

   Need help? Refer to the uv install documentation.

2. 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

3. Set up your environment

   cp env.example .env

4. 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-ai and pip 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

1. Clone the repository and navigate to it:

   git clone https://github.com/pipecat-ai/pipecat.git
   cd pipecat

2. Install development and testing dependencies:

   uv sync --group dev --all-extras \
     --no-extra gstreamer \
     --no-extra local \

3. 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.

🛟 Getting help

➡️ Join our Discord

➡️ Read the docs

➡️ Reach us on X