--- 格式版本: 2 标题: "Visualizations – ChatGPT | ChatGPT Learn" 原文链接: "https://developers.openai.com/codex/visualizations" 发布日期: "2026-08-16" 发布时间校准状态: "found" 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 09:03:13 GMT" 发布时间校准原因: "规则确认唯一严格发布时间，来源 local:strict_original_body" 发布时间校准置信度: "high" 发布时间候选数量: 4 发布时间严格候选数量: 1 发布时间原页读取状态: "source template page reused from URL open" 发布时间未找到原因: "" 发布时间校准时间: "2026-08-17T00:03:50+08:00" 发布时间仲裁状态: "skipped" 发布时间仲裁尝试次数: 0 发布时间仲裁耗时毫秒: 0 发现时间: "2026-08-16T23:54:06+08:00" 入库时间: "2026-08-16T16:03:50.314Z" 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: - "deployment" - "performance" - "latency" - "throughput" - "AI" 相关厂家: - "OpenAI" - "Microsoft" - "AWS" - "Google" - "Oracle" 相关专家: [] 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: [] AI优质: "否" AI打分: 5 AI分档: "非优质" AI质检状态: "不通过" AI打分理由: "页面为OpenAI开发者文档导航入口，仅含API目录链接，无任何超节点/AI Rack/机柜级AI基础设施等相关技术或商业内容，与项目主题完全无关。" AI质检模型: "ali-deepseek-v4-flash" AI质检时间: "2026-08-17T00:03:57+08:00" AI主题相关性: 0 AI来源权威性: 5 AI新颖性: 0 AI技术细节: 0 AI商业部署信号: 0 AI完整性: 0 AI摘要: "该页面是OpenAI Codex文档中关于“Visualizations”的条目，但正文未包含实质说明，仅展示了OpenAI开发者文档的站点导航与相关链接。" AI摘要模型: "ali-deepseek-v4-flash" AI摘要时间: "2026-09-07T03:28:26.484Z" 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/codex/visualizations" --- Title: Visualizations – ChatGPT | ChatGPT Learn URL Source: https://developers.openai.com/codex/visualizations Published Time: Sun, 16 Aug 2026 09:03:13 GMT Markdown Content: For the complete documentation index, see [llms.txt](https://developers.openai.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to the page URL. 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[Commands](https://developers.openai.com/codex/reference/commands) * [Slash commands](https://developers.openai.com/codex/reference/slash-commands) * [Settings](https://developers.openai.com/codex/reference/settings) * [Troubleshooting](https://developers.openai.com/codex/reference/troubleshooting) ![Image 2](https://developers.openai.com/images/codex/surface-icons/chatgpt-app.webp)ChatGPT desktop app Copy Page # Visualizations Turn ideas and information into interactive visual explanations in ChatGPT ![Image 3](https://developers.openai.com/images/codex/surface-icons/chatgpt-app.webp)ChatGPT desktop app Copy Page Visualizations turn questions, ideas, and information into charts, maps, diagrams, calculators, simulations, and interactive explanations you can explore in a ChatGPT chat. Use one when adjusting inputs or seeing a relationship would make an answer easier to understand, compare, practice, or act on. The Visualizations preview is rolling out. Availability can depend on your plan, platform, account, and workspace settings. The Visualizations preview is rolling out in the ChatGPT desktop app. When **Visualize** is available, type `@` in the composer, start entering `Visualize`, and select **Visualize** under **Plugins**. The composer adds a **Visualize** tag before your request. If **Visualize** doesn’t appear, use ChatGPT on the web or try again after the preview reaches your account. In a supported Chat or ChatGPT Work chat, type `@` in the composer, start entering `Visualize`, and select **Visualize** under **Plugins**. Its description is **Create visualizations and interactive tools**. The composer adds a **Visualize** tag before your request. You can also type `@Visualize` and select the matching suggestion. Codex CLI doesn’t render Visualizations. Open the same source material in ChatGPT on the web or the ChatGPT desktop app, then tag `@Visualize` there. The Codex IDE extension doesn’t render Visualizations. Use ChatGPT on the web or the ChatGPT desktop app for this workflow. ## Check availability | Surface | Current availability | | --- | --- | | ChatGPT on the web | Available to supported accounts in Chat and ChatGPT Work | | ChatGPT desktop app | Rolling out in preview | | ChatGPT mobile apps | Rolling out to eligible accounts; composer controls can differ by app version | | Codex CLI and IDE extension | Visualization rendering isn’t supported | The **Visualize** suggestion is the reliable sign that the preview is enabled for your account. During the rollout, availability can differ across accounts, workspaces, and app versions, even on the same plan. ## Choose when a visualization helps ChatGPT can choose a visual format when it materially improves the answer. You can also tag `@Visualize` when you specifically want an interactive result. Ask for the smallest format that fits the job: * Use a diagram for labeled relationships or a process. * Use a chart or plot for named numeric data and comparisons. * Use a map for geographic information. * Use an interactive visualization when inputs, time, motion, or spatial relationships should change. * Use a [Site](https://developers.openai.com/codex/sites) when you need a durable hosted application with a shareable URL, permissions, or persistent data. ## Prompt with an outcome and controls A strong request names the outcome, source material, question, and useful interactions. Try this example: Tell ChatGPT which information to use, such as content already in the chat, pasted data, an attached file, or an available connected source. For complex requests, choose a higher reasoning setting when one is available. ## Explore interactive examples These examples reproduce three visualizations from the GPT-5.6 launch page. Use their controls to see how a focused prompt can become an interactive explanation, lab, or teaching tool. Spirograph Wave interference Tokenizer explainer Slide 1 of 3 ·Spirograph Create an interactive spirograph to explain how it works. Worked for 1m 12s Drag the radii and pen distance to see how the rolling circle turns into the traced curve. Curve closes after 12 turns Ratio 93:36 Fixed ring radius 93 Rolling circle radius 36 Pen distance from center 88 Animation speed 60% Pause Restart `x=(R-r)cos(t)+d cos(((R-r)/r)t)y=(R-r)sin(t)-d sin(((R-r)/r)t)` * Traced pen path * Fixed ring * Rolling circle Adjust the radii, pen distance, and speed to see how a rolling circle traces the curve. Create an interactive wave interference lab worksheet. Worked for 1m 11s Adjust the sources, then move the probe through the interference field. Wavelength 2.0 cm Source spacing 7.3 cm Phase offset 100° - [x] Nodal guide Path difference**1.1 cm**0.55 wavelengths Probe result**Destructive**Crest meets trough Central spacing**5.5 cm**Estimated bright-band gap screen position * S1 wave * S2 wave * Sum Distance to S1 4.3 cm Distance to S2 3.2 cm Net amplitude-0.86 Lab worksheet First bright band position First nodal line position Pattern change after phase shift Change the sources and phase, move the probe, and record observations in the worksheet. Can you interactively explain how a GPT tokenizer works? Worked for 2m 11s Edit the text and step through the tokenization process. GPT tokenization is roughly:`text → UTF-8 bytes → ranked byte-pair merges → integer token IDs` Edit the text and step through the process.- [x] ·Show spaces as centered dots makes spaces visible. The demo uses a tiny teaching vocabulary; real vocabularies, merge ranks, preprocessing rules, and IDs vary by model. Text 1 UTF-8 bytes 2 Ranked merges 3 Token IDs Start with the input's UTF-8 byte sequence Step 1 of 12 · 18 pieces **A**41 20 **t**74 **o**6F **k**6B **e**65 **n**6E 20 **i**69 **s**73 20 **a**61 20 **t**74 **o**6F **k**6B **e**65 **n**6E 18 bytes are always representable—even for emoji and uncommon scripts. Tiny teaching vocabulary · model-specific IDs differ Previous Next step Tokens are not necessarily words: they can represent common words, word fragments, punctuation, spaces, or individual bytes. Byte fallback ensures any Unicode text can be encoded. Special tokens, such as message boundaries, are handled separately. Edit the text and move from UTF-8 bytes through ranked merges to the final token IDs. ## Refine and continue Continue in the same chat and describe the change you want. Useful follow-ups include: * Add or remove a control, filter, comparison, or annotation. * Correct the source data, units, labels, or assumptions. * Simplify a slow result by aggregating, binning, or sampling the data. * Add a concise text summary and a data table. * Make every control keyboard accessible and add visible focus states. * Use labels or patterns as well as color, and remove looping motion. * Turn the result into a Site when it should be hosted and revisited. A follow-up can create a replacement visualization instead of editing the original result in place. Review the new version before relying on it. ## Share or reuse a result Use the chat’s standard **Share** action when it’s available. Review the entire shared chat first, including its source data and earlier messages. A visualization is generally a snapshot of the information available when ChatGPT created it, not a live dashboard that stays synchronized with a connected source. Generated download controls and export formats can vary by result. If an export doesn’t work, ask ChatGPT for the underlying data in a simpler format or ask it to turn the visualization into a Site. ## Improve accessibility Generated visualizations aim to use semantic controls, visible focus, readable contrast, and reduced motion, but the result can vary. Check the visualization before sharing it. Ask ChatGPT to add a text summary and data table, label axes and units, avoid relying on color alone, and make controls work from a keyboard. ## Recover from a failed result Visualizations can take a minute or longer to generate. If the result is blank or missing, wait for the response to finish, reload the chat once, and then retry. If it still fails: * Ask for a smaller or simpler visualization. * Aggregate or bin data, sample fewer points, or reduce precision in a large dataset. * Remove a generated control or library that isn’t working. * Verify important values, geographic boundaries, and source assumptions. * Ask for a chart, diagram, table, or Site instead. Use the same data-handling judgment you use for any ChatGPT chat. Only include sensitive information when your organization permits it, and review the full chat before you share it. ## Related docs * [Sites](https://developers.openai.com/codex/sites) * [Projects and chats](https://developers.openai.com/codex/projects) * [Work with files](https://developers.openai.com/codex/artifacts-viewer) * [Image generation](https://developers.openai.com/codex/image-generation) [Previous Sites](https://developers.openai.com/codex/sites)[Next Scheduled tasks](https://developers.openai.com/codex/automations) Ask AI ## Docs agent Loading docs agent...