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 on the web Ask a question, research a topic, or describe a multi-step task. ChatGPT can use your files and connected tools to create documents, presentations, spreadsheets, and other outputs. Start with a clear task Give ChatGPT a goal and the context it needs, then refine the result through follow-up messages. Use your files and tools Use files, projects, and plugins to give ChatGPT the information and tools the task requires. Create files you can share Turn research and analysis into documents, presentations, spreadsheets, and other finished work. Get started on the web Open ChatGPT, choose how you want to work, and give it a clear outcome plus the context it needs. 1 Open ChatGPT and sign in Go to chatgpt.com and sign in with your ChatGPT account. Open ChatGPT and sign in Go to chatgpt.com and sign in with your ChatGPT account. 2 Select Work Select Work for research, analysis, documents, spreadsheets, presentations, Sites, and other multi-step tasks. For an answer or conversation, select Chat . Learn how to use ChatGPT Select Work for research, analysis, documents, spreadsheets, presentations, Sites, and other multi-step tasks. For an answer or conversation, select Chat . 3 Start a chat or choose a project Use a chat for a one-off task. Use a project to keep related chats, files, and instructions together as your work continues. Learn about chats and projects Start a chat or choose a project Use a chat for a one-off task. Use a project to keep related chats, files, and instructions together as your work continues. 4 Send your first message Describe the result you want and add any files or context ChatGPT needs. You can refine the result with follow-up messages. Explore example use cases Send your first message Describe the result you want and add any files or context ChatGPT needs. You can refine the result with follow-up messages. See what you can do on the web Use Chat for quick answers, or use Work with your files, plugins, and reasoning settings for multi-step tasks. Choose Chat or Work Use Chat to explore a question or shape an idea. Switch to Work when you have a clear outcome and want ChatGPT to plan, gather context, and carry a larger task through to a reviewable result. Choose the right model and reasoning Select a model and reasoning level from the composer. Start with the default effort, then increase it when a task needs deeper planning, analysis, or a larger multi-agent run. What should we work on? Work with ChatGPT Bring in tools and repeatable workflows Install plugins to connect services such as Google Drive, GitHub, or Slack. Add skills when ChatGPT should follow a specific workflow, use team guidance, or produce work in a consistent way. Create and refine finished files Use ChatGPT Work to create a document, presentation, spreadsheet, or PDF from your source material. Review the result in the chat, request focused revisions, and download the finished file when it is ready. Use ChatGPT on the web when… You need to complete a multi-step task ChatGPT Work can plan the task, gather context, and keep multiple steps moving toward a clear result. The task needs deeper reasoning Choose a stronger model or increase reasoning effort for complex planning and analysis. The work depends on your tools and context Use plugins and skills to bring in connected sources, take action, and follow repeatable workflows. You need a file you can review and share Turn source material into a document, presentation, spreadsheet, or PDF, then refine it through feedback. Loading docs agent...