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Sora 2 Prompting Guide Codex Prompting Guide Docs MCP | OpenAI Developers Gpt-image-1.5 Prompting Guide GPT-5.2 Prompting Guide Transcribing User Audio with a Separate Realtime Request Modernizing your Codebase with Codex GitHub - openai/openai-sora-sample-app: Sample app to get started using the Video API with Sora GitHub - openai/openai-apps-sdk-examples: Example apps for the Apps SDK GitHub - openai/openai-chatkit-advanced-samples: Starter app to build with OpenAI ChatKit SDK GitHub - openai/openai-chatkit-starter-app: Starter app to build with OpenAI ChatKit + Agent Builder Rate limits | OpenAI API Web search | OpenAI API Getting started with datasets | OpenAI API Prompt optimizer | OpenAI API Verifying gpt-oss implementations How to run gpt-oss locally with LM Studio Fine-tuning with gpt-oss and Hugging Face Transformers How to run gpt-oss locally with Ollama Function calling | OpenAI API Models | OpenAI API Reasoning best practices | OpenAI API Reasoning models | OpenAI API Background mode | OpenAI API Batch API | OpenAI API Conversation state | OpenAI API File search | OpenAI API Flex processing | OpenAI API MCP and Connectors | OpenAI API Code Interpreter | OpenAI API Quickstart - OpenAI Agents SDK Build Hour: Agentic Tool Calling Build Hour: Built-In Tools Reasoning best practices | OpenAI API Graders | OpenAI API Evaluation best practices | OpenAI API Working with evals | OpenAI API Guardrails - OpenAI Agents SDK Latency optimization | OpenAI API Optimizing LLM Accuracy | OpenAI API Agent orchestration - OpenAI Agents SDK Production best practices | OpenAI API Realtime transcription | OpenAI API Optimizing LLM Accuracy | OpenAI API Realtime and audio | OpenAI API Realtime conversations | OpenAI API Responses guide Migrate to the Responses API | OpenAI API Speech to text | OpenAI API Supervised fine-tuning | OpenAI API Tracing - OpenAI Agents SDK Vision fine-tuning | OpenAI API Audio and speech | OpenAI API GitHub - openai/openai-cs-agents-demo: Demo of a customer service use case implemented with the OpenAI Agents SDK Voice agents | OpenAI API Fine-tuning best practices | OpenAI API GitHub - openai/openai-agents-python: A lightweight, powerful framework for multi-agent workflows GitHub - openai/openai-agents-js: A lightweight, powerful framework for multi-agent workflows and voice agents Agents SDK | OpenAI API Using tools | OpenAI API Computer use | OpenAI API GitHub - openai/openai-cua-sample-app: Learn how to use CUA (our Computer Using Agent) via the API on multiple computer environments. GitHub - openai/openai-testing-agent-demo: Demo of a UI testing agent using the OpenAI CUA model and the Responses API. Model optimization | OpenAI API GitHub - openai/openai-fm: Code for openai.fm, a demo for the OpenAI Speech API Predicted Outputs | OpenAI API GitHub - openai/openai-realtime-console: React app for inspecting, building and debugging with the Realtime API Building Voice Agents GitHub - openai/openai-realtime-solar-system: Demo showing how to use the OpenAI Realtime API to navigate a 3D scene via tool calling GitHub - openai/openai-realtime-twilio-demo Reinforcement fine-tuning | OpenAI API GitHub - openai/openai-responses-starter-app: Starter app to build with the OpenAI Responses API Structured model outputs | OpenAI API GitHub - openai/openai-structured-outputs-samples: Sample apps to help developers get started with Structured Outputs Voice agents | OpenAI API Model optimization | OpenAI API GitHub - openai/openai-realtime-agents: This is a simple demonstration of more advanced, agentic patterns built on top of the Realtime API. GitHub - openai/openai-support-agent-demo: Demo of a customer support agent interface using NextJS and the OpenAI Responses API with File Search Building Voice Agents Generate images with high input fidelity AI app development: Concept to production Model optimization Building agents Eval Driven System Design - From Prototype to Production Multi-Agent Portfolio Collaboration with OpenAI Agents SDK o3/o4-mini Function Calling Guide Exploring Model Graders for Reinforcement Fine-Tuning Guide to Using the Responses API Reinforcement Fine-Tuning for Conversational Reasoning with the OpenAI API Evals API Use-case - Responses Evaluation Comparing Speech-to-Text Methods with the OpenAI API Generate images with GPT Image Multi-Tool Orchestration with RAG approach using OpenAI Multi-Language One-Way Translation with the Realtime API Doing RAG on PDFs using File Search in the Responses API How to use the Usage API and Cost API to monitor your OpenAI usage Leveraging model distillation to fine-tune a model Orchestrating Agents: Routines and Handoffs Prompt Caching 101 Developing Hallucination Guardrails
OpenAI Developers plugin for Codex
2026-04-30 · via OpenAI Developers

The OpenAI Developers plugin helps you build AI applications and agents in Codex with OpenAI Platform access and OpenAI API setup guidance. It works together with the OpenAI Docs Skill that comes bundled with your Codex install.

It includes:

  • OpenAI API Platform: connect Codex to the OpenAI API Platform.
  • API key setup: create, save, and connect a project API key from Codex when your app needs OpenAI API access.
  • Agents SDK: build and deploy OpenAI Agents SDK apps from an idea, a repo, or a prior Codex thread.
  • Troubleshooting: identify common OpenAI API failures and route you to the right next step.

Get started with Codex

If you are new to Codex, start here before installing the plugin:

  1. Download the Codex app for macOS or Windows.
  2. Follow the Codex quickstart to sign in, choose a project, and send your first message.

Install the plugin

Use the plugin

After installation, start building with Codex! Codex can use the plugin automatically when the task calls for OpenAI Platform interactions, such as creating API keys, or troubleshooting API issues.

The plugin is useful when you want Codex to:

  • build an app or agent that uses the OpenAI API
  • create an OpenAI API key for the app you are building
  • diagnose common OpenAI API errors and explain the next step.

Sample prompts

Build a new app

Build an app with the Responses API

Create a campaign studio that turns a brief into polished copy and generated visual directions.

Build an agent with the Agents SDK

Create a launch-planning agent with a frontend, useful tools, and observability hooks.

Build a realtime audio app

Make a voice-first worldbuilding companion with low-latency audio interactions.

Improve an existing app

Upgrade to the latest model

Create a no-code-change plan to modernize model/API usage while preserving behavior.

Optimize my API implementation

Create a no-code-change optimization plan for quality, latency, reliability, and cost.

Migrate from Responses API to Agents SDK

Create a no-code-change migration plan for whether and how to move to the Agents SDK.