--- 格式版本: 2 标题: "Use Codex in Linear | ChatGPT Learn" 原文链接: "https://developers.openai.com/codex/third-party/linear" 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 12:19:55 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: "2026-08-17T00:07:24+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: "2026-08-16T16:07:24.829Z" 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: "资料为OpenAI Codex与Linear集成文档入口，完全未涉及超节点/AI Rack/机柜级AI基础设施等任何相关技术或商业内容。" AI质检模型: "ali-deepseek-v4-flash" AI质检时间: "2026-08-17T00:07:30+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: "OpenAI 发布文档，介绍如何在 Linear 项目管理工具中使用 Codex。该页面属于 ChatGPT Learn 的第三方集成指南，说明 Codex 可接入 Linear，便于开发者在任务流程中直接使用 AI 编码能力。" AI摘要模型: "ali-deepseek-v4-flash" AI摘要时间: "2026-09-07T03:28:33.897Z" 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/third-party/linear" --- Title: Use Codex in Linear | ChatGPT Learn URL Source: https://developers.openai.com/codex/third-party/linear Published Time: Sun, 16 Aug 2026 12:19:55 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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[Linear](https://developers.openai.com/codex/third-party/linear) ### Reference * [CLI customization](https://developers.openai.com/codex/cli-customization) * [Developer commands](https://developers.openai.com/codex/developer-commands) * [Developer settings](https://developers.openai.com/codex/developer-settings) Copy Page # Use Codex in Linear Run Codex chats from Linear issues Copy Page Use Codex in Linear to delegate work from issues. Assign an issue to Codex or mention `@Codex` in a comment, and Codex creates a cloud chat and replies with progress and results. Codex in Linear is available on paid plans (see [Pricing](https://developers.openai.com/codex/pricing)). If you’re on an Enterprise plan, ask your ChatGPT workspace admin to turn on Codex cloud chats in [workspace settings](https://chatgpt.com/admin/settings) and enable **Codex for Linear** in [connector settings](https://chatgpt.com/admin/ca). ## Set up the Linear integration 1. Set up [Codex cloud chats](https://developers.openai.com/codex/cloud) by connecting GitHub in [Codex](https://chatgpt.com/codex) and creating an [environment](https://developers.openai.com/codex/environments/cloud-environment) for the repository you want Codex to work in. 2. Go to [Codex settings](https://chatgpt.com/codex/settings/connectors) and install **Codex for Linear** for your workspace. 3. Link your Linear account by mentioning `@Codex` in a comment thread on a Linear issue. ## Delegate work to Codex You can delegate in two ways: ### Assign an issue to Codex After you install the integration, you can assign issues to Codex the same way you assign them to teammates. Codex starts work and posts updates back to the issue. ![Image 2: Assigning Codex to a Linear issue (light mode)](https://developers.openai.com/images/codex/integrations/linear-assign-codex-light.webp)![Image 3: Assigning Codex to a Linear issue (dark mode)](https://developers.openai.com/images/codex/integrations/linear-assign-codex-dark.webp) ### Mention `@Codex` in comments You can also mention `@Codex` in comment threads to delegate work or ask questions. After Codex replies, follow up in the thread to continue the same chat. ![Image 4: Mentioning Codex in a Linear issue comment (light mode)](https://developers.openai.com/images/codex/integrations/linear-comment-light.webp)![Image 5: Mentioning Codex in a Linear issue comment (dark mode)](https://developers.openai.com/images/codex/integrations/linear-comment-dark.webp) After Codex starts working on an issue, it [chooses an environment and repo](https://developers.openai.com/codex/third-party/linear#how-codex-chooses-an-environment-and-repo) to work in. To pin a specific repo, include it in your comment, for example: `@Codex fix this in openai/codex`. To track progress: * Open **Activity** on the issue to see progress updates. * Open the chat link to follow along in more detail. When Codex finishes, it posts a summary and a link to the completed chat so you can create a pull request. ### How Codex chooses an environment and repo * Linear suggests a repository based on the issue context. Codex selects the environment that best matches that suggestion. If the request is ambiguous, it falls back to the environment you used most recently. * The chat runs against the default branch of the first repository listed in that environment’s repo map. Update the repo map in Codex if you need a different default or more repositories. * If no suitable environment or repository is available, Codex will reply in Linear with instructions on how to fix the issue before retrying. ## Automatically assign issues to Codex You can assign issues to Codex automatically using triage rules: 1. In Linear, go to **Settings**. 2. Under **Your teams**, select your team. 3. In the workflow settings, open **Triage** and turn it on. 4. In **Triage rules**, create a rule and choose **Delegate**>**Codex** (and any other properties you want to set). Linear assigns new issues that enter triage to Codex automatically. When you use triage rules, Codex runs chats using the account of the issue creator. ![Image 6: Screenshot of an example triage rule assigning everything to Codex and labeling it in the "Triage" status (light mode)](https://developers.openai.com/images/codex/integrations/linear-triage-rule-light.webp)![Image 7: Screenshot of an example triage rule assigning everything to Codex and labeling it in the "Triage" status (dark mode)](https://developers.openai.com/images/codex/integrations/linear-triage-rule-dark.webp) ## Data usage, privacy, and security When you mention `@Codex` or assign an issue to it, Codex receives your issue content to understand your request and create a chat. Data handling follows OpenAI’s [Privacy Policy](https://openai.com/privacy), [Terms of Use](https://openai.com/terms/), and other applicable [policies](https://openai.com/policies). For more on security, see the [Codex security documentation](https://developers.openai.com/codex/agent-approvals-security). Codex uses large language models that can make mistakes. Always review answers and diffs. ## Tips and troubleshooting * **Missing connections**: If Codex can’t confirm your Linear connection, it replies in the issue with a link to connect your account. * **Unexpected environment choice**: Reply in the thread with the environment you want (for example, `@Codex please run this in openai/codex`). * **Wrong part of the code**: Add more context in the issue, or give explicit instructions in your `@Codex` comment. * **More help**: See the [OpenAI Help Center](https://help.openai.com/). [](https://developers.openai.com/codex/third-party/linear) ## Connect Linear for local work (MCP) If you’re using the ChatGPT desktop app, Codex CLI, or IDE extension and want it to access Linear issues locally, configure the Linear Model Context Protocol (MCP) server. To learn more, [check out the Linear MCP docs](https://linear.app/integrations/codex-mcp). The setup steps for the MCP server are the same regardless of whether you use the IDE extension or the CLI since both share the same configuration. ### Use the CLI (recommended) If you have the CLI installed, run: `codex mcp add linear --url https://mcp.linear.app/mcp` This prompts you to sign in with your Linear account and connect it to Codex. ### Configure manually 1. Open `~/.codex/config.toml` in your editor. 2. Add the following: ``` [mcp_servers.linear] url = "https://mcp.linear.app/mcp" ``` 1. Run `codex mcp login linear` to log in. [Previous Slack](https://developers.openai.com/codex/third-party/slack) Ask AI ## Docs agent Loading docs agent...