wip - pcc-transport example

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Chad Bailey
2025-04-01 18:25:09 +00:00
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# Simple Chatbot for Pipecat Cloud
This project demonstrates how to build a complete Pipecat AI agent application with both client and server components. It includes a Next.js client for interacting with a Pipecat AI bot server through Daily.co's WebRTC transport.
<img src="image.png" width="420px">
## Project Overview
- **Server**: Python-based Pipecat bot with video/audio processing capabilities
- **Client**: Next.js TypeScript web application using the Pipecat React & JS SDKs
- **Infrastructure**: Deployable to Pipecat Cloud (server) and Vercel (client)
> See the [simple-chatbot example](https://github.com/pipecat-ai/pipecat/tree/main/examples/simple-chatbot) with different client and server implementations.
## Quick Start
### 1. Server Setup
Navigate to the server directory:
```bash
cd server
```
Create and activate a virtual environment:
```bash
python3 -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
```
Install requirements:
```bash
pip install -r requirements.txt
```
Copy env.example to .env and add your API keys:
```bash
cp env.example .env
# Edit .env to add OPENAI_API_KEY and CARTESIA_API_KEY
```
Run the server locally to test before deploying:
```bash
LOCAL_RUN=1 python bot.py
```
This will open a browser window with a Daily.co room where you can test your bot directly.
### 2. Client Setup
In a separate terminal, navigate to the client directory:
```bash
cd client-react
```
Install dependencies:
```bash
npm install
```
Create `.env.local` file with your Pipecat Cloud API key:
```bash
cp env.local.example .env.local
```
> Create a Pipecat Cloud API key using the dashboard
Start the development server:
```bash
npm run dev
```
Open [http://localhost:3000](http://localhost:3000) to interact with your agent through the Next.js client.
## Deployment
> See the [Pipecat Cloud Quickstart](https://docs.pipecat.daily.co/quickstart) for a complete walkthrough.
### Deploy Server to Pipecat Cloud
1. Install the Pipecat Cloud CLI:
```bash
pip install pipecatcloud
```
2. Authenticate:
```bash
pcc auth login
```
3. Build and push your Docker image:
```bash
cd server
chmod +x build.sh
./build.sh
```
> IMPORTANT: Before running this build script, you need to add your DOCKER_USERNAME
4. Create a secret set for your API keys:
```bash
pcc secrets set simple-chatbot-secrets --file .env
```
5. Deploy to Pipecat Cloud:
```bash
pcc deploy
```
> IMPORTANT: Before deploying, you need to add your Docker Hub username
### Deploy Client to Vercel
1. Push your Next.js client to GitHub
2. Connect your GitHub repository to Vercel
3. Add your `PIPECAT_CLOUD_API_KEY` environment variable in Vercel
4. Deploy with the Vercel dashboard or CLI
## Project Structure
```
simple-chatbot/
├── client-next/ # Next.js client application
│ ├── src/
│ │ ├── app/ # Next.js app routes
│ │ │ └── api/
│ │ │ └── connect/ # API endpoint for Daily.co connection
│ │ ├── components/ # React components
│ │ └── providers/ # React providers including RTVIProvider
│ ├── package.json
│ └── README.md # Client-specific documentation
└── server/ # Pipecat bot server
├── assets/ # Robot animation frames
├── bot.py # The Pipecat pipeline implementation
├── Dockerfile # For building the container image
├── build.sh # Script for building and pushing Docker image
├── requirements.txt # Python dependencies
├── pcc-deploy.toml # Pipecat Cloud deployment config
└── README.md # Server-specific documentation
```

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# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
# dependencies
/node_modules
/.pnp
.pnp.*
.yarn/*
!.yarn/patches
!.yarn/plugins
!.yarn/releases
!.yarn/versions
# testing
/coverage
# next.js
/.next/
/out/
# production
/build
# misc
.DS_Store
*.pem
# debug
npm-debug.log*
yarn-debug.log*
yarn-error.log*
.pnpm-debug.log*
# env files (can opt-in for committing if needed)
.env*
# vercel
.vercel
# typescript
*.tsbuildinfo
next-env.d.ts

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# Simple Chatbot Client
A Next.js application using TypeScript and the Pipecat React SDK to connect to a Pipecat AI agent.
## Features
- Next.js App Router architecture
- TypeScript for type safety
- RTVI client integration for real-time voice and video
- Daily.co WebRTC transport
- Custom API endpoint for Daily room creation
## Getting Started
1. Install dependencies:
```bash
npm install
```
2. Create `.env.local` file with your Pipecat Cloud API key:
```
PIPECAT_CLOUD_API_KEY=your_pipecat_cloud_key
```
3. Start the development server:
```bash
npm run dev
```
4. Open [http://localhost:3000](http://localhost:3000) in your browser

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PIPECAT_CLOUD_API_KEY=your_api_key_here

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import { dirname } from "path";
import { fileURLToPath } from "url";
import { FlatCompat } from "@eslint/eslintrc";
const __filename = fileURLToPath(import.meta.url);
const __dirname = dirname(__filename);
const compat = new FlatCompat({
baseDirectory: __dirname,
});
const eslintConfig = [
...compat.extends("next/core-web-vitals", "next/typescript"),
];
export default eslintConfig;

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import type { NextConfig } from "next";
const nextConfig: NextConfig = {
/* config options here */
};
export default nextConfig;

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{
"name": "my-nextjs-app",
"version": "0.1.0",
"private": true,
"scripts": {
"dev": "next dev",
"build": "next build",
"start": "next start",
"lint": "next lint"
},
"dependencies": {
"@pipecat-ai/client-js": "^0.3.5",
"@pipecat-ai/client-react": "^0.3.5",
"@pipecat-ai/daily-transport": "^0.3.7",
"next": "15.2.3",
"react": "^19.0.0",
"react-dom": "^19.0.0"
},
"devDependencies": {
"@eslint/eslintrc": "^3",
"@types/node": "^20",
"@types/react": "^19",
"@types/react-dom": "^19",
"eslint": "^9",
"eslint-config-next": "15.2.3",
"typescript": "^5"
}
}

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import { NextResponse, NextRequest } from 'next/server';
export async function POST(request: NextRequest) {
try {
const { MY_CUSTOM_DATA } = await request.json();
const response = await fetch(
'https://api.pipecat.daily.co/v1/public/simple-chatbot/start',
{
method: 'POST',
headers: {
Authorization: `Bearer ${process.env.PIPECAT_CLOUD_API_KEY}`,
'Content-Type': 'application/json',
},
body: JSON.stringify({
// Create Daily room
createDailyRoom: true,
// Optionally set Daily room properties
dailyRoomProperties: { start_video_off: true },
// Optionally pass custom data to the bot
body: { MY_CUSTOM_DATA },
}),
}
);
if (!response.ok) {
throw new Error(`API responded with status: ${response.status}`);
}
const data = await response.json();
// Transform the response to match what RTVI client expects
return NextResponse.json({
room_url: data.dailyRoom,
token: data.dailyToken,
});
} catch (error) {
console.error('API error:', error);
return NextResponse.json(
{ error: 'Failed to start agent' },
{ status: 500 }
);
}
}

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body {
margin: 0;
padding: 20px;
font-family: Arial, sans-serif;
background-color: #f0f0f0;
}
.app {
max-width: 1200px;
margin: 0 auto;
}
.status-bar {
display: flex;
justify-content: space-between;
align-items: center;
padding: 10px;
background-color: #fff;
border-radius: 8px;
margin-bottom: 20px;
}
.controls button {
padding: 8px 16px;
margin-left: 10px;
border: none;
border-radius: 4px;
cursor: pointer;
}
button:disabled {
opacity: 0.5;
cursor: not-allowed;
}
.connect-btn {
background-color: #4caf50;
color: white;
}
.disconnect-btn {
background-color: #f44336;
color: white;
}
.main-content {
background-color: #fff;
border-radius: 8px;
padding: 20px;
margin-bottom: 20px;
}
.bot-container {
display: flex;
flex-direction: column;
align-items: center;
}
.video-container {
width: 640px;
height: 360px;
background-color: #ddd;
margin-bottom: 20px;
border-radius: 8px;
overflow: hidden;
}
.video-container video {
width: 100%;
height: 100%;
object-fit: cover;
}
.mic-enabled {
background-color: #4caf50;
color: white;
}
.mic-disabled {
background-color: #f44336;
color: white;
}

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import './globals.css';
import { RTVIProvider } from '@/providers/RTVIProvider';
export const metadata = {
title: 'Pipecat React Client',
description: 'Pipecat RTVI Client using Next.js',
};
export default function RootLayout({
children,
}: {
children: React.ReactNode;
}) {
return (
<html lang="en">
<body>
<RTVIProvider>{children}</RTVIProvider>
</body>
</html>
);
}

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'use client';
import {
RTVIClientAudio,
RTVIClientVideo,
useRTVIClientTransportState,
} from '@pipecat-ai/client-react';
import { ConnectButton } from '../components/ConnectButton';
import { StatusDisplay } from '../components/StatusDisplay';
import { DebugDisplay } from '../components/DebugDisplay';
function BotVideo() {
const transportState = useRTVIClientTransportState();
const isConnected = transportState !== 'disconnected';
return (
<div className="bot-container">
<div className="video-container">
{isConnected && <RTVIClientVideo participant="bot" fit="cover" />}
</div>
</div>
);
}
export default function Home() {
return (
<div className="app">
<div className="status-bar">
<StatusDisplay />
<ConnectButton />
</div>
<div className="main-content">
<BotVideo />
</div>
<DebugDisplay />
<RTVIClientAudio />
</div>
);
}

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import {
useRTVIClient,
useRTVIClientTransportState,
} from '@pipecat-ai/client-react';
export function ConnectButton() {
const client = useRTVIClient();
const transportState = useRTVIClientTransportState();
const isConnected = ['connected', 'ready'].includes(transportState);
const handleClick = async () => {
if (!client) {
console.error('RTVI client is not initialized');
return;
}
try {
if (isConnected) {
await client.disconnect();
} else {
await client.connect();
}
} catch (error) {
console.error('Connection error:', error);
}
};
return (
<div className="controls">
<button
className={isConnected ? 'disconnect-btn' : 'connect-btn'}
onClick={handleClick}
disabled={
!client || ['connecting', 'disconnecting'].includes(transportState)
}>
{isConnected ? 'Disconnect' : 'Connect'}
</button>
</div>
);
}

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.debug-panel {
background-color: #fff;
border-radius: 8px;
padding: 20px;
}
.debug-panel h3 {
margin: 0 0 10px 0;
font-size: 16px;
font-weight: bold;
}
.debug-log {
height: 200px;
overflow-y: auto;
background-color: #f8f8f8;
padding: 10px;
border-radius: 4px;
font-family: monospace;
font-size: 12px;
line-height: 1.4;
}
.debug-log div {
margin-bottom: 4px;
}

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import { useRef, useCallback } from 'react';
import {
Participant,
RTVIEvent,
TransportState,
TranscriptData,
BotLLMTextData,
} from '@pipecat-ai/client-js';
import { useRTVIClient, useRTVIClientEvent } from '@pipecat-ai/client-react';
import './DebugDisplay.css';
export function DebugDisplay() {
const debugLogRef = useRef<HTMLDivElement>(null);
const client = useRTVIClient();
const log = useCallback((message: string) => {
if (!debugLogRef.current) return;
const entry = document.createElement('div');
entry.textContent = `${new Date().toISOString()} - ${message}`;
// Add styling based on message type
if (message.startsWith('User: ')) {
entry.style.color = '#2196F3'; // blue for user
} else if (message.startsWith('Bot: ')) {
entry.style.color = '#4CAF50'; // green for bot
}
debugLogRef.current.appendChild(entry);
debugLogRef.current.scrollTop = debugLogRef.current.scrollHeight;
}, []);
// Log transport state changes
useRTVIClientEvent(
RTVIEvent.TransportStateChanged,
useCallback(
(state: TransportState) => {
log(`Transport state changed: ${state}`);
},
[log]
)
);
// Log bot connection events
useRTVIClientEvent(
RTVIEvent.BotConnected,
useCallback(
(participant?: Participant) => {
log(`Bot connected: ${JSON.stringify(participant)}`);
},
[log]
)
);
useRTVIClientEvent(
RTVIEvent.BotDisconnected,
useCallback(
(participant?: Participant) => {
log(`Bot disconnected: ${JSON.stringify(participant)}`);
},
[log]
)
);
// Log track events
useRTVIClientEvent(
RTVIEvent.TrackStarted,
useCallback(
(track: MediaStreamTrack, participant?: Participant) => {
log(
`Track started: ${track.kind} from ${participant?.name || 'unknown'}`
);
},
[log]
)
);
useRTVIClientEvent(
RTVIEvent.TrackStopped,
useCallback(
(track: MediaStreamTrack, participant?: Participant) => {
log(
`Track stopped: ${track.kind} from ${participant?.name || 'unknown'}`
);
},
[log]
)
);
// Log bot ready state and check tracks
useRTVIClientEvent(
RTVIEvent.BotReady,
useCallback(() => {
log(`Bot ready`);
if (!client) return;
const tracks = client.tracks();
log(
`Available tracks: ${JSON.stringify({
local: {
audio: !!tracks.local.audio,
video: !!tracks.local.video,
},
bot: {
audio: !!tracks.bot?.audio,
video: !!tracks.bot?.video,
},
})}`
);
}, [client, log])
);
// Log transcripts
useRTVIClientEvent(
RTVIEvent.UserTranscript,
useCallback(
(data: TranscriptData) => {
// Only log final transcripts
if (data.final) {
log(`User: ${data.text}`);
}
},
[log]
)
);
useRTVIClientEvent(
RTVIEvent.BotTranscript,
useCallback(
(data: BotLLMTextData) => {
log(`Bot: ${data.text}`);
},
[log]
)
);
return (
<div className="debug-panel">
<h3>Debug Info</h3>
<div ref={debugLogRef} className="debug-log" />
</div>
);
}

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import { useRTVIClientTransportState } from '@pipecat-ai/client-react';
export function StatusDisplay() {
const transportState = useRTVIClientTransportState();
return (
<div className="status">
Status: <span>{transportState}</span>
</div>
);
}

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'use client';
import { RTVIClient } from '@pipecat-ai/client-js';
import { DailyTransport } from '@pipecat-ai/daily-transport';
import { RTVIClientProvider } from '@pipecat-ai/client-react';
import { PropsWithChildren, useEffect, useState } from 'react';
const MY_CUSTOM_DATA = { foo: 'bar' };
export function RTVIProvider({ children }: PropsWithChildren) {
const [client, setClient] = useState<RTVIClient | null>(null);
useEffect(() => {
console.log('Setting up Transport and Client');
const transport = new DailyTransport();
const rtviClient = new RTVIClient({
transport,
params: {
baseUrl: '/api',
endpoints: {
connect: '/connect',
},
requestData: { MY_CUSTOM_DATA },
},
enableMic: true,
enableCam: false,
});
setClient(rtviClient);
}, []);
if (!client) {
return null;
}
return <RTVIClientProvider client={client}>{children}</RTVIClientProvider>;
}

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{
"compilerOptions": {
"target": "ES2017",
"lib": ["dom", "dom.iterable", "esnext"],
"allowJs": true,
"skipLibCheck": true,
"strict": true,
"noEmit": true,
"esModuleInterop": true,
"module": "esnext",
"moduleResolution": "bundler",
"resolveJsonModule": true,
"isolatedModules": true,
"jsx": "preserve",
"incremental": true,
"plugins": [
{
"name": "next"
}
],
"paths": {
"@/components/*": ["./src/components/*"],
"@/providers/*": ["./src/providers/*"]
}
},
"include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"],
"exclude": ["node_modules"]
}

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