---
格式版本: 2
标题: "URL Source: https://developers.openai.com/llms.txt"
原文链接: "https://developers.openai.com/llms.txt"
发布日期: "2026-08-16"
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发布时间需复核: "否"
发布时间来源: "rule:local:strict_original_body"
发布时间证据: "Published Time: Sun, 16 Aug 2026 07:25:45 GMT"
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发布时间未找到原因: ""
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发现时间: "2026-08-16T23:54:06+08:00"
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来源平台: "固定入口"
搜索渠道: "fixed_url"
搜索词: "https://developers.openai.com/blog"
匹配关键词:
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相关厂家:
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相关专家:
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内容类型: "网页"
抓取工具: "Jina Reader"
清洗工具: "Jina Reader Markdown + Defuddle/Readability 正文提取"
原始附件:
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AI优质: "否"
AI打分: 7
AI分档: "非优质"
AI质检状态: "不通过"
AI打分理由: "纯开发者文档导航页，无任何超节点/AI Rack/机柜级AI基础设施相关内容，与项目关注范围完全无关。"
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AI新颖性: 0
AI技术细节: 0
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AI摘要: "本文是 OpenAI Developers 网站的 llms.txt 索引页，为开发者提供文档导航入口，按产品索引、文档集、常见任务和学习路径，列出 API、Ads、插件、Codex、Workspace Agents。"
AI摘要模型: "ali-deepseek-v4-flash"
AI摘要时间: "2026-09-07T03:28:02.489Z"
采集批次: "2026年8月16日20点37分10秒"
采集批次ID: "20260816-203710-016"
去重键: "https://developers.openai.com/llms.txt"
---

Title: 

URL Source: https://developers.openai.com/llms.txt

Published Time: Sun, 16 Aug 2026 07:25:45 GMT

Markdown Content:
# OpenAI Developers

> Complete documentation hub for OpenAI API, Ads, 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.
- [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.
- [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/realtime-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)
- [Community hackathons](https://developers.openai.com/community/hackathons)
- [Community meetups](https://developers.openai.com/community/meetups)
- [Codex for Students](https://developers.openai.com/community/students)

## Learning tracks
- [AI app development: Concept to production](https://developers.openai.com/tracks/ai-application-development.md): Build, deploy, and optimize AI apps.
- [Building agents](https://developers.openai.com/tracks/building-agents.md): Learn how to build agents: Foundational concepts to practical implementation
- [Model optimization](https://developers.openai.com/tracks/model-optimization.md): Fine-tune, distill, and optimize models for the best performance and cost.