developers.openai.com llms.txt
In short
developers.openai.com serves a 6.1 KB llms.txt with 4 H2 sections and 40 links, graded A on the llmstxt.org structure (6 of 6 checks). It passes every check. The home page links the file. Read 4 November 2026. The file is one of 2,529 plain-text llms.txt files in this edition of the index.
llms.txt 6.1 KB, 54 lines
# OpenAI Developers
> Complete documentation hub for OpenAI API, Ads, Sign in with ChatGPT, Plugins, Workspace Agents, Codex, Agentic Commerce, the developer blog, Cookbook, learning resources, and learning tracks.
Start with the product index that matches your task. Product indexes route to detailed pages; documentation indexes also provide Markdown pages and full-document exports.
## Documentation sets
- [OpenAI API guides and reference](https://developers.openai.com/api/llms.txt): Quickstart, Responses API, text and image generation, audio, Realtime and WebRTC, tools and function calling, evals, fine-tuning, models, and endpoint reference.
- [Ads API and campaign documentation](https://developers.openai.com/ads/llms.txt): Partner setup, campaigns, targeting, creatives, product feeds, conversions, measurement, and Ads API reference.
- [Sign in with ChatGPT](https://developers.openai.com/siwc/llms.txt): Quickstart, website and ChatGPT plugin integration, token sharing for open-source clients, and client ID registration.
- [ChatGPT plugins and Apps SDK](https://developers.openai.com/plugins/llms.txt): Build plugins with MCP servers, tools, UI components, authentication, metadata, testing, deployment, review, and submission.
- [Workspace Agents API](https://developers.openai.com/workspace-agents/llms.txt): Authenticate API calls, trigger published workspace agent runs, and inspect run results.
- [Codex developer tools](https://developers.openai.com/codex/llms.txt): Codex CLI, IDE, cloud, config.toml, authentication, customization, automation, and security.
- [ChatGPT product documentation](https://learn.chatgpt.com/llms.txt): ChatGPT Work, administration, collaboration, and product guidance.
- [Agentic Commerce Protocol](https://developers.openai.com/commerce/llms.txt): Merchant onboarding, product feeds, checkout sessions, delegated payments, and production guidance.
- [OpenAI developer blog](https://developers.openai.com/blog/llms.txt): Engineering articles, product launches, technical deep dives, and developer announcements.
- [OpenAI Cookbook examples](https://developers.openai.com/cookbook/llms.txt): Practical code examples and patterns for APIs, agents, evals, multimodal applications, and integrations.
- [Learning resources](https://developers.openai.com/learn/llms.txt): Videos, guides, and conceptual learning material for OpenAI developers.
- [OpenAI developer showcase](https://developers.openai.com/showcase/llms.txt): Projects, demos, games, and applications built with OpenAI APIs and Codex.
## Common tasks
- [OpenAI API quickstart](https://developers.openai.com/api/docs/quickstart.md): Make your first API request with the OpenAI SDK and Responses API.
- [Sign in with ChatGPT quickstart](https://developers.openai.com/siwc/quickstart.md): Add ChatGPT sign-in to your application.
- [Plugin submission guide](https://developers.openai.com/plugins/deploy/submission.md): Prepare, review, submit, and publish a ChatGPT plugin.
- [Image generation guide](https://developers.openai.com/api/docs/guides/image-generation.md): Generate and edit images with OpenAI image models and the API.
- [Create a response API reference](https://developers.openai.com/api/reference/resources/responses/methods/create.md): Parameters and response schema for the Responses API create method.
- [Evals guide](https://developers.openai.com/api/docs/guides/evals.md): Measure and improve model and application quality with OpenAI evals.
- [Function calling guide](https://developers.openai.com/api/docs/guides/function-calling.md): Define tools and handle model requests to call application functions.
- [Cookbook image evals](https://developers.openai.com/cookbook/examples/multimodal/image_evals.md): Build evals for image generation and editing applications.
- [Realtime API with WebRTC](https://developers.openai.com/api/docs/guides/voice-webrtc.md): Connect browser and client applications to the Realtime API.
- [Plugins and Apps SDK quickstart](https://developers.openai.com/plugins/build/app-quickstart.md): Build an MCP server with tools and an optional ChatGPT interface.
- [Trigger workspace agent runs](https://developers.openai.com/workspace-agents/trigger-runs.md): Start ChatGPT workspace agents from backend systems and automations.
- [Ads API quickstart](https://developers.openai.com/ads/api-quickstart.md): Launch your first Ads API workflow.
- [Agentic checkout specification](https://developers.openai.com/commerce/specs/checkout.md): Implement the Agentic Commerce checkout flow.
- [Codex configuration reference](https://developers.openai.com/codex/config-file/config-reference.md): Look up Codex config.toml and requirements.toml settings.
- [Codex CLI customization](https://developers.openai.com/codex/cli-customization.md): Customize the terminal interface, editor, completions, and shortcuts.
## Site navigation
- [OpenAI Developers](https://developers.openai.com/): Developer documentation and resources from OpenAI.
- [ChatGPT developer resources](https://developers.openai.com/chatgpt)
- [Learning tracks](https://developers.openai.com/tracks.md)
- [Showcase](https://developers.openai.com/showcase): Examples built with OpenAI APIs and Codex.
- [Community](https://developers.openai.com/community): Programs, meetups, and support for OpenAI developers.
- [Codex Ambassadors](https://developers.openai.com/community/codex-ambassadors)
- [Codex for Open Source](https://developers.openai.com/community/codex-for-oss)
First 45 of 54 lines.
Parse graded A, 6 of 6
file: https://developers.openai.com/llms.txt
OpenAI Developers
Complete documentation hub for OpenAI API, Ads, Sign in with ChatGPT, Plugins, Workspace Agents, Codex, Agentic Commerce, the developer blog, Cookbook, learning resources, and learning tracks.
4 sections, 40 links, no Optional section.
Ora's cached score: 64, grade C, scanned 20 October 2026.
The parse
developers.openai.com lists 40 links: 38 point at openai.com or a relative path, 2 point elsewhere. The hosts it links most: developers.openai.com (38), learn.chatgpt.com (1), luma.com (1).
| H2 section | Links |
|---|---|
| Documentation sets | 12 |
| Common tasks | 15 |
| Site navigation | 10 |
| Learning tracks | 3 |
Grade against the llmstxt.org structure
The file passes all six checks. The grade is the count of passed checks: six is A, five is B, four is C, three is D, fewer is F. It measures structure only. Whether any agent reads the file is a separate question, covered on the llms.txt reference.
| Check | Result | Detail |
|---|---|---|
| Starts with an H1 naming the site or project | Pass | H1: OpenAI Developers |
| Has a blockquote summary under the H1 | Pass | Blockquote summary found. |
| Has at least one H2 section that lists links | Pass | 4 H2 sections, 4 with links. |
| At least 80 percent of links point at the same site | Pass | 38 of 40 links stay on openai.com (95 percent). |
| Under 100 KB | Pass | 6201 bytes as served. |
| Plain markdown, no HTML | Pass | No HTML document markers in the body. |
Ora's cached score
Ora's cached report for developers.openai.com gives it 64 of 100, grade C, scanned on 20 October 2026. Its Access layer, which holds the read-layer checks below, scored 34 of 58 check points. Read from GET ora.ai/api/score/developers.openai.com on 5 November 2026. The score is Ora's, not this site's, and the structure grade above is a different measure: it grades the llms.txt file against the llmstxt.org proposal, while Ora's score covers the whole site. Ora's report for developers.openai.com has every layer.
| Ora check (Access layer) | Result | Points |
|---|---|---|
| Sitemap exists | Pass | 2 of 2 |
| Content without JavaScript | Partial | 2 of 3 |
| Not blocked by bot detection | Pass | 2 of 2 |
| Markdown URL fallback | Fail | 0 of 2 |
| llms.txt exists | Pass | 1 of 1 |
| llms.txt formatting | Pass | 2 of 2 |
| JSON-LD structured data | Partial | 1 of 4 |
| Metadata completeness | Pass | 2 of 2 |
| llms.txt links resolve | Pass | 2 of 2 |
| Markdown alternate link | Pass | 1 of 1 |
| Redirect hygiene | Pass | 1 of 1 |
| Page token budget | Pass | 1 of 1 |
| Code fence validity | Pass | 1 of 1 |
| Content behind auth | Pass | 2 of 2 |
| OpenAPI spec published | Fail | 0 of 7 |
| Markdown agent docs | Fail | 0 of 1 |
| Markdown negotiation with Vary | Fail | 0 of 1 |
| Markdown for agent user agents | Fail | 0 of 1 |
| Agent crawler reachability | Pass | 2 of 2 |
Linking and the companion file
The home page of developers.openai.com links the file in its HTML. Ora's lab found (2026-10-19) that 86 percent of llms.txt fetches by agents arrived through a link, so an unlinked file is mostly a file nobody opens.
How it compares
At 6.1 KB the file is larger than 42 percent of the 2,529 plain-text llms.txt files in this edition, and its 40 links put it ahead of 54 percent of them on link count. The home page declares no generator. Size bucket: 2 to 10 KB. Curated example. Category: AI lab.
Why it is in the index: Compact index of OpenAI developer docs. Owner as listed: OpenAI.
Live file: https://developers.openai.com/llms.txt. Read 4 November 2026. If the file has since changed or gone, the live URL is the authority; this page records what the crawl read on that date.
Sources
- developers.openai.com llms.txt https://developers.openai.com/llms.txt, read 4 November 2026
- llms.txt proposal (llmstxt.org) https://llmstxt.org/, read 4 November 2026
- Tranco list 746WX (crawl universe) https://tranco-list.eu/list/746WX, read 4 November 2026
- Ora: AgentReady launch post (the 86 percent finding) https://ora.ai/blog/agentready-launch, read 4 November 2026
- Ora llms.txt (GET /api/score/{domain} looks up a cached score) https://ora.ai/llms.txt, read 5 November 2026
Last reviewed 5 November 2026