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title OpenAI Realtime Agents Tutorial
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OpenAI Realtime Agents Tutorial: Voice-First AI Systems

Learn how to build low-latency voice agents with openai/openai-realtime-agents, including realtime session design, tool orchestration, and production rollout patterns.

GitHub Repo License Agents SDK

Why This Track Matters

Realtime voice agents require different engineering discipline than text-only bots: latency budgets, interruption handling, session resilience, and tool safety all become first-class concerns.

This track focuses on:

  • architecture patterns from the official OpenAI realtime agent demos
  • reliable voice input/output and turn-management behavior
  • tool-calling and handoff patterns for specialized agent roles
  • migration-safe implementation aligned with current Realtime deprecations

Current Snapshot (auto-updated)

Mental Model

flowchart LR
    A[Audio Input] --> B[Realtime Session]
    B --> C[Primary Realtime Agent]
    C --> D[Tools and Handoffs]
    D --> E[Supervisor or Specialist Agents]
    E --> F[Audio and Text Response]
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Chapter Guide

Chapter Key Question Outcome
01 - Getting Started How do I run the official demos quickly? Working realtime baseline
02 - Realtime API Fundamentals How do sessions, events, and transports work? Correct protocol mental model
03 - Voice Input Processing How do I manage VAD and interruption cleanly? Better low-latency input handling
04 - Conversational AI How do I keep dialogue coherent under realtime constraints? Stable conversational behavior
05 - Function Calling How do realtime agents call tools safely? Tool orchestration strategy
06 - Voice Output How do I stream speech responses effectively? Production voice-response baseline
07 - Advanced Patterns How do chat-supervisor and sequential-handoff patterns differ? Better architecture tradeoff decisions
08 - Production Deployment How do I run voice agents with reliability/security controls? Operations-ready deployment plan

What You Will Learn

  • how to implement robust realtime voice-agent session flows
  • how to design specialist/supervisor handoffs and tool execution loops
  • how to manage latency, interruption, and recovery in production voice systems
  • how to align implementations with current GA Realtime guidance and beta deprecation timelines

Source References

Related Tutorials


Start with Chapter 1: Getting Started.

Navigation & Backlinks

Full Chapter Map

  1. Chapter 1: Getting Started
  2. Chapter 2: Realtime API Fundamentals
  3. Chapter 3: Voice Input Processing
  4. Chapter 4: Conversational AI
  5. Chapter 5: Function Calling
  6. Chapter 6: Voice Output
  7. Chapter 7: Advanced Patterns
  8. Chapter 8: Production Deployment

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