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@pipecat-ai/openai-realtime-webrtc-transport
Advanced tools
Pipecat OpenAI RealTime Transport Package
A real-time websocket transport implementation for interacting with Google's Gemini Multimodal Live API, supporting bidirectional audio and unidirectional text communication.
npm install \
@pipecat-ai/client-js \
@pipecat-ai/openai-realtime-webrtc-transport
The OpenAIRealTimeWebRTCTransport
is a fully functional Pipecat Transport
. It provides a framework for implementing real-time communication directly with the OpenAI Realtime API using WebRTC voice-to-voice service. It handles media device management, audio/video streams, and state management for the connection.
import { OpenAIRealTimeWebRTCTransport, OpenAIServiceOptions } from '@pipecat-ai/openai-realtime-webrtc-transport';
const options: OpenAIServiceOptions = {
api_key: 'YOUR_API_KEY',
session_config: {
instructions: 'you are a confused jellyfish',
}
};
let PipecatConfig: PipecatClientOptions = {
transport: new OpenAIRealTimeWebRTCTransport(options),
...
};
/**********************************
* OpenAI-specific types
* types and comments below are based on:
* gpt-4o-realtime-preview-2024-12-17
**********************************/
type JSONSchema = { [key: string]: any };
export type OpenAIFunctionTool = {
type: "function";
name: string;
description: string;
parameters: JSONSchema;
};
export type OpenAIServerVad = {
type: "server_vad";
create_response?: boolean; // defaults to true
interrupt_response?: boolean; // defaults to true
prefix_padding_ms?: number; // defaults to 300ms
silence_duration_ms?: number; // defaults to 500ms
threshold?: number; // range (0.0, 1.0); defaults to 0.5
};
export type OpenAISemanticVAD = {
type: "semantic_vad";
eagerness?: "low" | "medium" | "high" | "auto"; // defaults to "auto", equivalent to "medium"
create_response?: boolean; // defaults to true
interrupt_response?: boolean; // defaults to true
};
export type OpenAISessionConfig = Partial<{
modalities?: string;
instructions?: string;
voice?:
| "alloy"
| "ash"
| "ballad"
| "coral"
| "echo"
| "sage"
| "shimmer"
| "verse";
input_audio_noise_reduction?: {
type: "near_field" | "far_field";
} | null; // defaults to null/off
input_audio_transcription?: {
model: "whisper-1" | "gpt-4o-transcribe" | "gpt-4o-mini-transcribe";
language?: string;
prompt?: string[] | string; // gpt-4o models take a string
} | null; // we default this to gpt-4o-transcribe
turn_detection?: OpenAIServerVad | OpenAISemanticVAD | null; // defaults to server_vad
temperature?: number;
max_tokens?: number | "inf";
tools?: Array<OpenAIFunctionTool>;
}>;
export interface OpenAIServiceOptions {
api_key: string;
model?: string;
initial_messages?: LLMContextMessage[];
settings?: OpenAISessionConfig;
}
// at setup time...
pcClient.appendToContext({ role: "user", content: 'Hello OpenAI!' });
The transport implements the various Pipecat event handlers. Check out the docs or samples for more info.
pcClient.transport.updateSessionConfig({
instructions: 'you are a an over-sharing neighbor',
input_audio_noise_reduction: {
type: 'near_field'
}
});
initialize()
: Set up the transport and establish connectionsendMessage(message)
: Send a text messagehandleUserAudioStream(data)
: Stream audio data to the modeldisconnectLLM()
: Close the connectionsendReadyMessage()
: Signal ready stateThe transport can be in one of the following states:
The transport includes comprehensive error handling for:
BSD-2 Clause
FAQs
Pipecat OpenAI RealTime Transport Package
We found that @pipecat-ai/openai-realtime-webrtc-transport demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 7 open source maintainers collaborating on the project.
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