--- 格式版本: 2 标题: "Troubleshooting – Plugins | OpenAI Developers" 原文链接: "https://developers.openai.com/plugins/deploy/troubleshooting" 发布日期: "2026-09-04" 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: Fri, 04 Sep 2026 06:33:50 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: "2026-09-04T16:30:19+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: "2026-09-04T16:24:00+08:00" 入库时间: "2026-09-04T08:30:19.574Z" 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" - "Meta" - "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: 25 AI分档: "非优质" AI质检状态: "不通过" AI打分理由: "正文是OpenAI官方插件/Codex的Troubleshooting文档，内容为MCP server、组件渲染、认证和部署的故障排查指南，属于开发者工具运维教程，完全不涉及超节点、AI Rack、机架级系统或关键部件。来源为官方文档权威性高，但主题零相关；无新产品、标准、量产、部署或工程机制信息。命中硬否决项：教程与运维选型，最高54分；且主题与超节点无关，故非优质。" AI质检模型: "zj-deepseek-v4-flash" AI质检时间: "2026-09-04T16:47:20+08:00" AI主题相关性: 1 AI来源权威性: 12 AI新颖性: 3 AI技术细节: 2 AI商业部署信号: 0 AI完整性: 7 AI评分提示词版本: "v17-精简生产版" AI评分提示词SHA256: "48fb9777f386026761b4873eaff30807694fb11e9b352d7c69bf2dfde750cc7d" AI评分知识库版本: "knowledge_base_v1-20260819+runtime.87" AI评分知识库SHA256: "0cf9900cb3e9d03b3f4c39f45979aac6e2d5c789a68d1b2802c9dab62cd2710e" AI评分知识库检索词: "[\"OpenAI\",\"https://developers.openai.com/blog\",\"RAS\",\"NPU\",\"Google\",\"Meta\",\"Microsoft\",\"URL\",\"GMT\",\"HTTP\",\"API\",\"GPT-6\"]" AI评分知识库命中: "[{\"id\":\"july-correct-0033\",\"title\":\"Microsoft, Alphabet, Meta Pivot from Buy to Build in AI\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"OpenAI\",\"RAS\",\"Google\",\"Meta\",\"Microsoft\",\"URL\",\"HTTP\",\"API\"],\"rank\":-18.229700393321},{\"id\":\"july-correct-0001\",\"title\":\"全球首颗2nm GPU来了！苏姿丰甩出“最强AI机架”，CPU性能干翻英伟达 - 智东西\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"OpenAI\",\"RAS\",\"NPU\",\"Meta\",\"HTTP\"],\"rank\":-12.752907321262027},{\"id\":\"runtime-51cfe3db04ed0bd3efb5e0e3\",\"title\":\"The full stack behind abundant intelligence\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-25\",\"matchedTerms\":[\"OpenAI\",\"RAS\",\"Microsoft\",\"URL\",\"HTTP\",\"API\"],\"rank\":-12.679167019868977},{\"id\":\"july-correct-0018\",\"title\":\"AMD, Cerebras partner on joint Helios rack-scale AI inference platform\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"OpenAI\",\"RAS\",\"Meta\",\"Microsoft\",\"URL\",\"HTTP\"],\"rank\":-12.180948954382538},{\"id\":\"july-correct-0015\",\"title\":\"AMD to join the optical interconnect party with 2027 Instinct GPUs\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"OpenAI\",\"Meta\",\"Microsoft\",\"URL\",\"HTTP\"],\"rank\":-12.059703544606952}]" 采集批次: "2026年9月4日15点53分07秒" 采集批次ID: "20260904-155307-58ad1755" 去重键: "https://developers.openai.com/plugins/deploy/troubleshooting" --- Title: Troubleshooting – Plugins | OpenAI Developers URL Source: https://developers.openai.com/plugins/deploy/troubleshooting Published Time: Fri, 04 Sep 2026 06:33:50 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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[Troubleshooting](https://developers.openai.com/plugins/deploy/troubleshooting) ### Resources * [Changelog](https://developers.openai.com/plugins/changelog) * [Plugin guidelines](https://developers.openai.com/plugins/app-guidelines) * [MCP server review requirements](https://developers.openai.com/plugins/deploy/app-review) * [Plugin UI reference](https://developers.openai.com/plugins/reference) * [Checkout API reference](https://developers.openai.com/plugins/build/monetization) Copy Page # Troubleshooting Troubleshoot plugin tools and optional UI. Copy Page ## How to triage issues When something goes wrong—components failing to render, discovery missing prompts, auth loops—start by isolating which layer is responsible: server, component, or ChatGPT client. The checklist below covers the most common problems and how to resolve them. Server, tool, and discovery checks apply to plugins in ChatGPT and Codex. UI, widget state, and client-authentication checks on this page describe ChatGPT behavior. ## Server-side issues * **No tools listed:** Confirm your server is running and that you are connecting to the `/mcp` endpoint. If you changed ports, update the connector URL and restart MCP Inspector. * **Structured content only, no component:** Confirm the tool descriptor sets `_meta.ui.resourceUri` to a registered HTML resource with `mimeType: "text/html;profile=mcp-app"` (ChatGPT honors `_meta["openai/outputTemplate"]` as an optional compatibility alias), and that the resource loads without CSP errors. * **Schema mismatch errors:** Ensure your Python or TypeScript models match the schema advertised in `outputSchema`. Regenerate types after making changes. * **Slow responses:** Components feel sluggish when tool calls take longer than a few hundred milliseconds. Profile server calls and cache results when possible. ## Widget issues * **Widget fails to load:** Open the browser console (or MCP Inspector logs) for CSP violations or missing bundles. Make sure the HTML contains your compiled JavaScript and that the bundle contains all dependencies. * **Drag-and-drop or editing doesn’t persist:** If you rely on ChatGPT’s widget-state persistence, call `window.openai.setWidgetState` after each update and restore state from `window.openai.widgetState` on mount. * **Layout problems on mobile:** If you rely on ChatGPT layout signals, inspect `window.openai.displayMode` and `window.openai.maxHeight` to adjust layout. Avoid fixed heights or hover-only actions. ## Discovery and entry-point issues * **Tool never triggers:** Revisit your metadata. Rewrite descriptions with “Use this when…” phrasing, update starter prompts, and retest using your golden prompt set. * **Wrong tool selected:** Add clarifying details to similar tools or specify disallowed scenarios in the description. Consider splitting large tools into smaller, purpose-built ones. * **Launcher ranking feels off:** Refresh your directory metadata and ensure the plugin icon and descriptions match what users expect. ## Authentication problems * **401 errors:** Include a `WWW-Authenticate` header in the error response so ChatGPT knows to start the OAuth flow again. Double-check issuer URLs and audience claims. * **Client registration fails:** If you use CIMD, confirm your authorization server metadata includes `client_id_metadata_document_supported: true` and can fetch ChatGPT’s client metadata document. For `private_key_jwt`, confirm your authorization server can fetch ChatGPT’s public JWKS and check the signed client assertion. If you use DCR, confirm your authorization server exposes `registration_endpoint` and that newly created clients have at least one login connection enabled. * **An existing connector returns `invalid_client`:** Confirm that the dynamically registered OAuth client still exists and that your authorization server accepts its client secret, if it has one. ChatGPT reuses these credentials, so restore them instead of creating a new client. An expired access token requires a different fix. ## Deployment problems * **ngrok tunnel times out:** Restart the tunnel and verify your local server is running before sharing the URL. For production, use a stable hosting provider with health checks. * **Streaming breaks behind proxies:** Ensure your load balancer or CDN allows server-sent events or streaming HTTP responses without buffering. ## When to escalate If you have validated the points above and the issue persists: 1. Collect logs (server, component console, ChatGPT tool call transcript) and screenshots. 2. Note the prompt you issued and any confirmation messages. 3. Share the details with your OpenAI partner contact so they can reproduce the issue internally. A crisp troubleshooting log shortens turnaround time and keeps your connector reliable for users. Ask AI ## Docs agent Loading docs agent...