Overview of building realtime agents with the TypeScript SDK. — Agents SDK, agentic, tool calling, voice, streaming, low latency
Example codebase for building with the Responses API and tools.
Examples of producing structured data from model responses. — structured outputs, JSON, schema
Explains methods to generate and validate structured data. — structured outputs, JSON, schema
Explains how to fine-tune models using reinforcement signals. — fine-tuning, latency, cost, performance
Interactive example showcasing realtime capabilities. — voice, streaming, low latency
Example of using realtime API alongside Twilio services. — voice, streaming, low latency
Basic console for interacting with realtime agent APIs. — voice, streaming, low latency
Explains using tools to delegate actions in realtime voice agents. — Agents SDK, agentic, tool calling, streaming, low latency
Reference implementation for speech-related applications. — audio
Explains how predicted outputs can optimize workflows. — latency, cost, performance
Strategies for efficient and effective model usage. — latency, cost, performance
Walkthrough of features provided by MCP. — Model Customization Platform (MCP)
Introduces capabilities of the latest OpenAI audio models. — speech, transcription, speech-to-text (STT)
Instructions for creating images with OpenAI's image models. — image generation
Shows how to automate frontend tests with Computer Use API. — computer use, computer using agent (CUA)
Details available built-in tools and their usage. — tool calling
Overview of programming with OpenAI Codex.
Demonstrates how to use the CUA with OpenAI agents. — Agents SDK, agentic, tool calling, computer use, computer using agent (CUA)
Introduces features of the Computer Use API. — computer use based on our computer using agent (CUA), computer using agent (CUA)