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Overview

OpenAIRealtimeLLMService provides real-time, multimodal conversation capabilities using OpenAI’s Realtime API. It supports speech-to-speech interactions with integrated LLM processing, function calling, and advanced conversation management with minimal latency response times.

OpenAI Realtime API Reference

Pipecat’s API methods for OpenAI Realtime integration

Example Implementation

Complete OpenAI Realtime conversation example

OpenAI Documentation

Official OpenAI Realtime API documentation

OpenAI Platform

Access Realtime models and manage API keys

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Installation

To use OpenAI Realtime services, install the required dependencies: 
pip install "pipecat-ai[openai]"

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Prerequisites

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OpenAI Account Setup

Before using OpenAI Realtime services, you need:
  1. OpenAI Account: Sign up at OpenAI Platform
  2. API Key: Generate an OpenAI API key from your account dashboard
  3. Model Access: Ensure access to GPT-4o Realtime models
  4. Usage Limits: Configure appropriate usage limits and billing

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Required Environment Variables

  • OPENAI_API_KEY: Your OpenAI API key for authentication

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Key Features

  • Real-time Speech-to-Speech: Direct audio processing with minimal latency
  • Advanced Turn Detection: Multiple voice activity detection options including semantic detection
  • Function Calling: Seamless support for external functions and APIs
  • Voice Options: Multiple voice personalities and speaking styles
  • Conversation Management: Intelligent context handling and conversation flow control