Search the docs Using GPT-6 Astra Conversation state Background mode Mid-turn steering Counting tokens Supported countries OpenAI Crawlers Terms and policies Agent Builder Overview Migration guide Node reference Safety in building agents Migration guide Safety in building agents Evals Getting started Working with evals Prompt optimizer External models Best practices Graders Getting started Working with evals Prompt optimizer External models Fine-tuning Optimization cycle Supervised fine-tuning Vision fine-tuning Direct preference optimization Reinforcement fine-tuning RFT use cases Best practices Optimization cycle Supervised fine-tuning Vision fine-tuning Direct preference optimization Reinforcement fine-tuning Assistants API Migration guide Migration guide Model selection Text generation Code generation Structured output Prompt engineering Citation formatting Migration guide Prompt generation Frontend prompting Reasoning models Reasoning best practices Images and video Images and vision Image input cost calculator Image input cost calculator Image generation Overview Image prompting Image prompting Video generation Realtime and audio Audio and speech Specialized models Agent definitions Models and providers Results and state Integrations and observability Evaluate agent workflows Advanced integrations Function calling Search and retrieval Connect tools and data MCP and Connectors Secure MCP Tunnel Build tool workflows Programmatic tool calling Async tool calling Computer and code Code interpreter Image generation Live translation Realtime prompting guide Audio and speech File transcription Realtime transcription Speech generation Connection methods Sessions and operations Managing conversations Voice activity detection Realtime with tools Webhooks and server-side controls Production best practices Deployment checklist Performance and quality Latency optimization Predicted Outputs Accuracy optimization Cost and throughput Cost optimization Prompt caching Prompt cache diagnostics Prompt cache diagnostics Flex processing Safety and governance Safety best practices Safety checks Safety classifiers Cybersecurity checks Misalignment monitoring Safety classifiers Cybersecurity checks Misalignment monitoring Under-18 guidance Content provenance Infrastructure and access Terraform provider Overview Projects and access Service accounts Rate limits and spend Model, tool, and data controls Import and reconciliation Projects and access Service accounts Rate limits and spend Model, tool, and data controls Import and reconciliation Workload identity federation Codex setup Federation rules Admin API X.509 certificates Kubernetes AWS Microsoft Azure Google Cloud Oracle Cloud Infrastructure GitHub Actions SPIFFE Federation rules X.509 certificates Microsoft Azure Oracle Cloud Infrastructure IP egress ranges Plugin architecture Brainstorm use cases Build an MCP server Add UI to your MCP server (optional) Authenticate users Package your plugin Test and publish Connect and test your plugin Submit and publish Submission error reference Conversion specs Restaurant reservation spec Product checkout spec Optimize Metadata Submit a Claude Code plugin Security & Privacy Troubleshooting Plugin guidelines MCP server review requirements Plugin UI reference Checkout API reference Trigger workspace agent runs Authenticate with Workspace Agent access tokens Measurement Pixel Multiple Pixels (Advanced) Conversions API Supported Events API Partner Setup Delta Feeds API Campaign Targeting Conversion-Optimized Campaigns Custom Audiences Conversion Setup Get started with Work Import from another agent

Personalize ChatGPT Skills & Plugins ChatGPT desktop app ChatGPT on the web Codex IDE extension Feature Maturity Projects and chats Scheduled tasks Long-running work Image generation Browser extension Work with files Troubleshooting Computer History Advanced Config Config Reference Environment Variables Agent configuration Extend ChatGPT and Codex Record & Replay Windows sandbox Development workflows Integrated terminal Extend and automate Site tools (WebMCP) Local environments Cloud environment Build with Codex Non-interactive mode Third-party integrations CLI customization Developer commands Developer settings Agent approvals & security Internet access Codex Security plugin Quickstart Run a security scan Run a deep scan Review code changes Use the Security workbench Triage a backlog Fix findings Propose security hardening Write vulnerability reports Export and track findings Changelog Run a security scan Run a deep scan Review code changes Use the Security workbench Triage a backlog Propose security hardening Write vulnerability reports Export and track findings Codex Security CLI Quickstart Run bulk scans Run scans in CI GitLab CI/CD Reference FAQ Run scans in CI Codex Security cloud Setup Security Review Improving the threat model FAQ Security Review Improving the threat model Models & Trusted Access Recommended configuration Getting started Admin rollout guide ChatGPT Work Overview ChatGPT Work cloud security ChatGPT Work local security ChatGPT Work admin FAQ ChatGPT Work: usage and cost Identity and authentication Authentication overview Workload identity Personal Access Tokens Service accounts Workspace access, policy, and models Groups and provisioning User lifecycle management Roles and workspace permissions GPTs and Sharing Managed configuration HIPAA configuration Workspace model availability Plugin and connector controls Plugin controls Plugin management Usage, governance, and compliance Workspace analytics Compliance API and audit events Deployment and model providers Manage app updates Windows app deployment Remote connections Explore use cases Online trainings Codex Ambassadors Codex for Students Codex for Open Source Explore use cases Online trainings Codex Ambassadors Codex for Students Codex for Open Source Architectural visualization with Astra Building games with Astra Meet Rosalind Workbench: Empowering every scientist to be their own research team Automating repetitive work at OpenAI with Codex Meet the winners of OpenAI Build Week Cookbook on GitHub OpenAI Developers plugin Image generation Video generation Codex Ambassadors Codex for Students Codex for Open Source OpenAI for Startups Developer Forum ChatGPT desktop app Run projects in parallel, work with files, use your computer, and keep long-running work moving from one desktop workspace. Keep every chat in view Move between projects and long-running work without losing context. Create and inspect real outputs Open documents, spreadsheets, images, and other files in the same workspace. Work across your tools Use the browser, desktop apps, and plugins, or schedule a task inside a chat. Get started with the desktop app Install ChatGPT, sign in, choose where to work, and send your first message. 1 Install the ChatGPT desktop app Download ChatGPT for macOS, Windows, or Linux. Download ChatGPT Install the ChatGPT desktop app Download ChatGPT for macOS, Windows, or Linux. 2 Open ChatGPT and sign in Open the app, then sign in with your ChatGPT account. Open ChatGPT and sign in Open the app, then sign in with your ChatGPT account. 3 Choose where to work Start a chat, create a project, or open a folder. ChatGPT can use the files and context in the location you choose. Learn about chats and projects Choose where to work Start a chat, create a project, or open a folder. ChatGPT can use the files and context in the location you choose. 4 Send your first message Choose ChatGPT or Codex. In ChatGPT, use the toggle above the composer to select Chat or Work. In Codex, start with New chat. For a quick question, point to New chat and select the Quick chat icon on its right. Then describe the result you want and add any files or context ChatGPT needs. Learn how to use ChatGPT Send your first message Choose ChatGPT or Codex. In ChatGPT, use the toggle above the composer to select Chat or Work. In Codex, start with New chat. For a quick question, point to New chat and select the Quick chat icon on its right. Then describe the result you want and add any files or context ChatGPT needs. See what the app can do Turn everyday work into outputs you can review, refine, and share. Start each day with a focused work brief Review priorities across your calendar, messages, email, and project context. Analyze files and create interactive visuals Turn a data export into a finding you can inspect and share. Turn scattered context into a finished PRD Bring sources together, synthesize them, and create a working document. Clean and prepare messy data Turn a messy CSV or spreadsheet into a clean copy without changing the original. Turn feedback into actions Synthesize feedback from multiple sources into a reviewable artifact. Use the ChatGPT desktop app when… Loading docs agent...