{"id":472654,"date":"2025-08-30T15:00:25","date_gmt":"2025-08-30T15:00:25","guid":{"rendered":"http:\/\/savepearlharbor.com\/?p=472654"},"modified":"-0001-11-30T00:00:00","modified_gmt":"-0001-11-29T21:00:00","slug":"","status":"publish","type":"post","link":"https:\/\/savepearlharbor.com\/?p=472654","title":{"rendered":"<span>OpenAI&#8217;s Codex CLI Agent: The Complete VS Code Setup Guide<\/span>"},"content":{"rendered":"<div><!--[--><!--]--><\/div>\n<div id=\"post-content-body\">\n<div>\n<div class=\"article-formatted-body article-formatted-body article-formatted-body_version-2\">\n<div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\">\n<figure class=\"full-width\"><img decoding=\"async\" src=\"https:\/\/habrastorage.org\/r\/w1560\/getpro\/habr\/upload_files\/024\/beb\/8d3\/024beb8d3f1162b2ac2098b1142b0a1f.png\" width=\"700\" height=\"400\" sizes=\"auto, (max-width: 780px) 100vw, 50vw\" srcset=\"https:\/\/habrastorage.org\/r\/w780\/getpro\/habr\/upload_files\/024\/beb\/8d3\/024beb8d3f1162b2ac2098b1142b0a1f.png 780w,&#10;       https:\/\/habrastorage.org\/r\/w1560\/getpro\/habr\/upload_files\/024\/beb\/8d3\/024beb8d3f1162b2ac2098b1142b0a1f.png 781w\" loading=\"lazy\" decode=\"async\"\/><\/figure>\n<p>This tutorial will guide you through the process of integrating OpenAI\u2019s powerful Codex coding agent directly into your\u00a0<strong>Visual Studio Code<\/strong>\u00a0environment. This tool functions as an AI pair programmer, capable of understanding complex prompts to execute commands, write code, run tests, and even build entire applications from scratch.<\/p>\n<p><strong>Before you begin, ensure you have the following:<\/strong><\/p>\n<ul>\n<li>\n<p>Visual Studio Code: The latest version is installed on your machine.<\/p>\n<\/li>\n<li>\n<p>ChatGPT Plus Account: The Codex agent extension requires a paid OpenAI subscription (ChatGPT Plus, Team, Pro, or Enterprise) to function.<\/p>\n<\/li>\n<\/ul>\n<h4>Step 1: Install the Codex Extension<\/h4>\n<p>First, you need to add the official OpenAI extension to VS Code.<\/p>\n<ol>\n<li>\n<p>Launch Visual Studio Code.<\/p>\n<\/li>\n<li>\n<p>Navigate to the Extensions view by clicking the icon on the left-hand sidebar.<\/p>\n<\/li>\n<li>\n<p>In the search bar, type Codex.<\/p>\n<\/li>\n<li>\n<p>From the search results, locate and select Codex \u2014 OpenAI\u2019s coding agent published by OpenAI. It\u2019s crucial to select the official extension to ensure proper functionality and security.<\/p>\n<\/li>\n<li>\n<p>Click the Install button. You may be prompted to trust the publisher; confirm to proceed.<\/p>\n<\/li>\n<\/ol>\n<figure class=\"full-width\"><img decoding=\"async\" src=\"https:\/\/habrastorage.org\/r\/w1560\/getpro\/habr\/upload_files\/cb3\/da6\/f94\/cb3da6f946266835d36209f5b8ac0023.png\" alt=\"Install the Codex Extension\" title=\"Install the Codex Extension\" width=\"700\" height=\"341\" sizes=\"auto, (max-width: 780px) 100vw, 50vw\" srcset=\"https:\/\/habrastorage.org\/r\/w780\/getpro\/habr\/upload_files\/cb3\/da6\/f94\/cb3da6f946266835d36209f5b8ac0023.png 780w,&#10;       https:\/\/habrastorage.org\/r\/w1560\/getpro\/habr\/upload_files\/cb3\/da6\/f94\/cb3da6f946266835d36209f5b8ac0023.png 781w\" loading=\"lazy\" decode=\"async\"\/><\/p>\n<div><figcaption>Install the Codex Extension<\/figcaption><\/div>\n<\/figure>\n<h4>Step 2: Sign In and Authenticate<\/h4>\n<p>Once installed, you must connect the extension to your OpenAI account.<\/p>\n<ol>\n<li>\n<p>After installation, a new Codex icon will appear in the top-right corner of the activity bar. Click it to open the Codex panel.<\/p>\n<\/li>\n<li>\n<p>In the Codex panel, click the Sign in with ChatGPT button.<\/p>\n<\/li>\n<li>\n<p>Your default web browser will open, prompting you to log in to your OpenAI account.<\/p>\n<\/li>\n<li>\n<p>After successfully logging in, you will be authenticated, and the Codex panel in VS Code will activate, ready for use.<\/p>\n<\/li>\n<\/ol>\n<figure class=\"full-width\"><img decoding=\"async\" src=\"https:\/\/habrastorage.org\/r\/w1560\/getpro\/habr\/upload_files\/945\/20b\/4a3\/94520b4a3800927b925ec21efcea6c8e.png\" alt=\"Sign In and Authenticate\" title=\"Sign In and Authenticate\" width=\"700\" height=\"360\" sizes=\"auto, (max-width: 780px) 100vw, 50vw\" srcset=\"https:\/\/habrastorage.org\/r\/w780\/getpro\/habr\/upload_files\/945\/20b\/4a3\/94520b4a3800927b925ec21efcea6c8e.png 780w,&#10;       https:\/\/habrastorage.org\/r\/w1560\/getpro\/habr\/upload_files\/945\/20b\/4a3\/94520b4a3800927b925ec21efcea6c8e.png 781w\" loading=\"lazy\" decode=\"async\"\/><\/p>\n<div><figcaption>Sign In and Authenticate<\/figcaption><\/div>\n<\/figure>\n<h4>Step 3: Understanding the Codex Interface<\/h4>\n<p><strong>Main Chat Panel:<\/strong>\u00a0This is where you will interact with the agent. The bottom of the panel contains several important settings:<\/p>\n<p><strong>Environment: Choose where Codex will run its commands.<\/strong><\/p>\n<ul>\n<li>\n<p>Work locally: The agent will use your local machine\u2019s file system and terminal. You must have a project folder open for this to work.<\/p>\n<\/li>\n<li>\n<p>Run in the cloud: The agent operates in a sandboxed cloud environment provided by OpenAI.<\/p>\n<\/li>\n<\/ul>\n<p><strong>Mode: Select how the agent behaves.<\/strong><\/p>\n<ul>\n<li>\n<p>Chat: A standard conversational mode.<\/p>\n<\/li>\n<li>\n<p>Agent: The agent can read files, write code, and run commands, but will ask for approval before executing.Agent (full access): The agent has full permissions to perform tasks without requiring approval for each step.<\/p>\n<\/li>\n<\/ul>\n<p><strong>Reasoning Effort:\u00a0<\/strong>Adjust the complexity of the agent\u2019s planning and execution. The default is Medium, which is suitable for most tasks. Higher settings may yield better results for complex problems but will take longer.<\/p>\n<figure class=\"\"><img decoding=\"async\" src=\"https:\/\/habrastorage.org\/r\/w1560\/getpro\/habr\/upload_files\/1c5\/b66\/6c5\/1c5b666c5e7c3e161105ad7d1bd5fa87.png\" alt=\"Understanding the Codex Interface\" title=\"Understanding the Codex Interface\" width=\"329\" height=\"250\" sizes=\"auto, (max-width: 780px) 100vw, 50vw\" srcset=\"https:\/\/habrastorage.org\/r\/w780\/getpro\/habr\/upload_files\/1c5\/b66\/6c5\/1c5b666c5e7c3e161105ad7d1bd5fa87.png 780w,&#10;       https:\/\/habrastorage.org\/r\/w1560\/getpro\/habr\/upload_files\/1c5\/b66\/6c5\/1c5b666c5e7c3e161105ad7d1bd5fa87.png 781w\" loading=\"lazy\" decode=\"async\"\/><\/p>\n<div><figcaption>Understanding the Codex Interface<\/figcaption><\/div>\n<\/figure>\n<p><strong>Top Menu Icons:<\/strong><\/p>\n<ul>\n<li>\n<p>New Chat: Starts a new, clean conversation.<\/p>\n<\/li>\n<li>\n<p>Task History: View previous conversations and tasks.<\/p>\n<\/li>\n<li>\n<p>Settings: Access account information, help docs, keyboard shortcuts, and advanced configurations.<\/p>\n<figure class=\"\"><img decoding=\"async\" src=\"https:\/\/habrastorage.org\/r\/w1560\/getpro\/habr\/upload_files\/a12\/f32\/b9c\/a12f32b9ccd7925332cbde05ffc306af.png\" alt=\"Top Menu Icons\" title=\"Top Menu Icons\" width=\"324\" height=\"210\" sizes=\"auto, (max-width: 780px) 100vw, 50vw\" srcset=\"https:\/\/habrastorage.org\/r\/w780\/getpro\/habr\/upload_files\/a12\/f32\/b9c\/a12f32b9ccd7925332cbde05ffc306af.png 780w,&#10;       https:\/\/habrastorage.org\/r\/w1560\/getpro\/habr\/upload_files\/a12\/f32\/b9c\/a12f32b9ccd7925332cbde05ffc306af.png 781w\" loading=\"lazy\" decode=\"async\"\/><\/p>\n<div><figcaption>Top Menu Icons<\/figcaption><\/div>\n<\/figure>\n<\/li>\n<\/ul>\n<h4>Step 4: Run Your First Prompt<\/h4>\n<p>Now you\u2019re ready to give Codex a task. For this example, we\u2019ll ask it to create a simple web application.<\/p>\n<figure class=\"full-width\"><img decoding=\"async\" src=\"https:\/\/habrastorage.org\/r\/w1560\/getpro\/habr\/upload_files\/dde\/b06\/d86\/ddeb06d865c2858234f8fd0f264f1202.png\" alt=\"Step 4: Run Your First Prompt\" title=\"Step 4: Run Your First Prompt\" width=\"700\" height=\"836\" sizes=\"auto, (max-width: 780px) 100vw, 50vw\" srcset=\"https:\/\/habrastorage.org\/r\/w780\/getpro\/habr\/upload_files\/dde\/b06\/d86\/ddeb06d865c2858234f8fd0f264f1202.png 780w,&#10;       https:\/\/habrastorage.org\/r\/w1560\/getpro\/habr\/upload_files\/dde\/b06\/d86\/ddeb06d865c2858234f8fd0f264f1202.png 781w\" loading=\"lazy\" decode=\"async\"\/><\/p>\n<div><figcaption>Step 4: Run Your First Prompt<\/figcaption><\/div>\n<\/figure>\n<ol>\n<li>\n<p>Open a Project Folder: Before starting, ensure you have a folder open in VS Code. If not, go to File &gt; Open Folder\u2026 and select or create a project directory. This is required for the agent to work locally.<\/p>\n<\/li>\n<li>\n<p>Write a Detailed Prompt: A good prompt is descriptive and clear. In the Codex chat input, type the following:\u00a0<em>create a simple to-do application with login and password. include a simple database and modern bootstrap styling.<\/em><\/p>\n<\/li>\n<li>\n<p>Launch the Agent: Press the send button. The agent will begin by outlining its plan, showing steps.<\/p>\n<\/li>\n<li>\n<p>Monitor the Progress: The agent will show its work in real-time, creating files (<a href=\"http:\/\/app.py\" rel=\"noopener noreferrer nofollow\">app.py<\/a>, data.db, etc.) and writing code. Once complete, it will provide instructions on how to run the application.<\/p>\n<\/li>\n<\/ol>\n<h4>Step 5: Run the Generated Application<\/h4>\n<p>Codex will provide the command needed to start the application it just built.<\/p>\n<ol>\n<li>\n<p>Open the integrated terminal in VS Code (View &gt; Terminal).<\/p>\n<\/li>\n<li>\n<p>Run the command provided by Codex. In this case, it\u2019s:\u00a0<em>python3 <\/em><a href=\"http:\/\/app.py\" rel=\"noopener noreferrer nofollow\"><em>app.py<\/em><\/a><\/p>\n<\/li>\n<li>\n<p>The terminal will show that the server is running, typically on\u00a0<a href=\"http:\/\/127.0.0.1:8000\" rel=\"noopener noreferrer nofollow\">http:\/\/127.0.0.1:8000<\/a>.<\/p>\n<\/li>\n<li>\n<p>Open this URL in your web browser. You can now interact with the fully functional to-do application, complete with user registration, login, and task management.<\/p>\n<figure class=\"full-width\"><img decoding=\"async\" src=\"https:\/\/habrastorage.org\/r\/w1560\/getpro\/habr\/upload_files\/cb2\/008\/a32\/cb2008a3244980c8eb16fcdcc679af83.png\" alt=\"Run the Generated Application\" title=\"Run the Generated Application\" width=\"1123\" height=\"581\" sizes=\"auto, (max-width: 780px) 100vw, 50vw\" srcset=\"https:\/\/habrastorage.org\/r\/w780\/getpro\/habr\/upload_files\/cb2\/008\/a32\/cb2008a3244980c8eb16fcdcc679af83.png 780w,&#10;       https:\/\/habrastorage.org\/r\/w1560\/getpro\/habr\/upload_files\/cb2\/008\/a32\/cb2008a3244980c8eb16fcdcc679af83.png 781w\" loading=\"lazy\" decode=\"async\"\/><\/p>\n<div><figcaption>Run the Generated Application<\/figcaption><\/div>\n<\/figure>\n<\/li>\n<\/ol>\n<h4>Additional Configuration and Tips<\/h4>\n<ul>\n<li>\n<p>Data Privacy: If you wish to prevent your data from being used to train OpenAI models, go to the Codex Settings, where you can find a link to your Data controls on the ChatGPT website to opt-out.<\/p>\n<\/li>\n<li>\n<p>Model Selection: In the advanced settings, you can see which AI model is being used. By default, the extension uses powerful and up-to-date models (like GPT-5, as shown in the video) optimized for coding tasks.<\/p>\n<\/li>\n<\/ul>\n<h3>Video Codex in VS Code Tutorial<\/h3>\n<div class=\"tm-iframe_temp\" data-src=\"https:\/\/embedd.srv.habr.com\/iframe\/68b25532467d162b95b21c6c\" data-style=\"\" id=\"68b25532467d162b95b21c6c\" width=\"\"><\/div>\n<p><strong><em>Watch on YouTube:\u00a0<\/em><\/strong><a href=\"https:\/\/youtu.be\/RaFxPRG98Lg?si=QvSe4Hv-QsozkBfA\" rel=\"noopener noreferrer nofollow\"><strong><em>Codex CLI in VS Code<\/em><\/strong><\/a><\/p>\n<h3>Conclusion<\/h3>\n<p>You\u2019ve now seen how simple it is to get OpenAI\u2019s Codex agent running in VS Code. By following these steps, you can bring a powerful AI pair programmer into your daily workflow, automating tasks and accelerating your projects.<\/p>\n<p>Cheers! \ud83d\ude09<\/p>\n<\/div>\n<\/div>\n<\/div>\n<p><!----><!----><\/div>\n<p><!----><!----><br \/> \u0441\u0441\u044b\u043b\u043a\u0430 \u043d\u0430 \u043e\u0440\u0438\u0433\u0438\u043d\u0430\u043b \u0441\u0442\u0430\u0442\u044c\u0438 <a href=\"https:\/\/habr.com\/ru\/articles\/942214\/\"> https:\/\/habr.com\/ru\/articles\/942214\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<div><!--[--><!--]--><\/div>\n<div id=\"post-content-body\">\n<div>\n<div class=\"article-formatted-body article-formatted-body article-formatted-body_version-2\">\n<div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\">\n<figure class=\"full-width\"><\/figure>\n<p>This tutorial will guide you through the process of integrating OpenAI\u2019s powerful Codex coding agent directly into your\u00a0<strong>Visual Studio Code<\/strong>\u00a0environment. This tool functions as an AI pair programmer, capable of understanding complex prompts to execute commands, write code, run tests, and even build entire applications from scratch.<\/p>\n<p><strong>Before you begin, ensure you have the following:<\/strong><\/p>\n<ul>\n<li>\n<p>Visual Studio Code: The latest version is installed on your machine.<\/p>\n<\/li>\n<li>\n<p>ChatGPT Plus Account: The Codex agent extension requires a paid OpenAI subscription (ChatGPT Plus, Team, Pro, or Enterprise) to function.<\/p>\n<\/li>\n<\/ul>\n<h4>Step 1: Install the Codex Extension<\/h4>\n<p>First, you need to add the official OpenAI extension to VS Code.<\/p>\n<ol>\n<li>\n<p>Launch Visual Studio Code.<\/p>\n<\/li>\n<li>\n<p>Navigate to the Extensions view by clicking the icon on the left-hand sidebar.<\/p>\n<\/li>\n<li>\n<p>In the search bar, type Codex.<\/p>\n<\/li>\n<li>\n<p>From the search results, locate and select Codex \u2014 OpenAI\u2019s coding agent published by OpenAI. It\u2019s crucial to select the official extension to ensure proper functionality and security.<\/p>\n<\/li>\n<li>\n<p>Click the Install button. You may be prompted to trust the publisher; confirm to proceed.<\/p>\n<\/li>\n<\/ol>\n<figure class=\"full-width\">\n<div><figcaption>Install the Codex Extension<\/figcaption><\/div>\n<\/figure>\n<h4>Step 2: Sign In and Authenticate<\/h4>\n<p>Once installed, you must connect the extension to your OpenAI account.<\/p>\n<ol>\n<li>\n<p>After installation, a new Codex icon will appear in the top-right corner of the activity bar. Click it to open the Codex panel.<\/p>\n<\/li>\n<li>\n<p>In the Codex panel, click the Sign in with ChatGPT button.<\/p>\n<\/li>\n<li>\n<p>Your default web browser will open, prompting you to log in to your OpenAI account.<\/p>\n<\/li>\n<li>\n<p>After successfully logging in, you will be authenticated, and the Codex panel in VS Code will activate, ready for use.<\/p>\n<\/li>\n<\/ol>\n<figure class=\"full-width\">\n<div><figcaption>Sign In and Authenticate<\/figcaption><\/div>\n<\/figure>\n<h4>Step 3: Understanding the Codex Interface<\/h4>\n<p><strong>Main Chat Panel:<\/strong>\u00a0This is where you will interact with the agent. The bottom of the panel contains several important settings:<\/p>\n<p><strong>Environment: Choose where Codex will run its commands.<\/strong><\/p>\n<ul>\n<li>\n<p>Work locally: The agent will use your local machine\u2019s file system and terminal. You must have a project folder open for this to work.<\/p>\n<\/li>\n<li>\n<p>Run in the cloud: The agent operates in a sandboxed cloud environment provided by OpenAI.<\/p>\n<\/li>\n<\/ul>\n<p><strong>Mode: Select how the agent behaves.<\/strong><\/p>\n<ul>\n<li>\n<p>Chat: A standard conversational mode.<\/p>\n<\/li>\n<li>\n<p>Agent: The agent can read files, write code, and run commands, but will ask for approval before executing.Agent (full access): The agent has full permissions to perform tasks without requiring approval for each step.<\/p>\n<\/li>\n<\/ul>\n<p><strong>Reasoning Effort:\u00a0<\/strong>Adjust the complexity of the agent\u2019s planning and execution. The default is Medium, which is suitable for most tasks. Higher settings may yield better results for complex problems but will take longer.<\/p>\n<figure class=\"\">\n<div><figcaption>Understanding the Codex Interface<\/figcaption><\/div>\n<\/figure>\n<p><strong>Top Menu Icons:<\/strong><\/p>\n<ul>\n<li>\n<p>New Chat: Starts a new, clean conversation.<\/p>\n<\/li>\n<li>\n<p>Task History: View previous conversations and tasks.<\/p>\n<\/li>\n<li>\n<p>Settings: Access account information, help docs, keyboard shortcuts, and advanced configurations.<\/p>\n<figure class=\"\">\n<div><figcaption>Top Menu Icons<\/figcaption><\/div>\n<\/figure>\n<\/li>\n<\/ul>\n<h4>Step 4: Run Your First Prompt<\/h4>\n<p>Now you\u2019re ready to give Codex a task. For this example, we\u2019ll ask it to create a simple web application.<\/p>\n<figure class=\"full-width\">\n<div><figcaption>Step 4: Run Your First Prompt<\/figcaption><\/div>\n<\/figure>\n<ol>\n<li>\n<p>Open a Project Folder: Before starting, ensure you have a folder open in VS Code. If not, go to File &gt; Open Folder\u2026 and select or create a project directory. This is required for the agent to work locally.<\/p>\n<\/li>\n<li>\n<p>Write a Detailed Prompt: A good prompt is descriptive and clear. In the Codex chat input, type the following:\u00a0<em>create a simple to-do application with login and password. include a simple database and modern bootstrap styling.<\/em><\/p>\n<\/li>\n<li>\n<p>Launch the Agent: Press the send button. The agent will begin by outlining its plan, showing steps.<\/p>\n<\/li>\n<li>\n<p>Monitor the Progress: The agent will show its work in real-time, creating files (<a href=\"http:\/\/app.py\" rel=\"noopener noreferrer nofollow\">app.py<\/a>, data.db, etc.) and writing code. Once complete, it will provide instructions on how to run the application.<\/p>\n<\/li>\n<\/ol>\n<h4>Step 5: Run the Generated Application<\/h4>\n<p>Codex will provide the command needed to start the application it just built.<\/p>\n<ol>\n<li>\n<p>Open the integrated terminal in VS Code (View &gt; Terminal).<\/p>\n<\/li>\n<li>\n<p>Run the command provided by Codex. In this case, it\u2019s:\u00a0<em>python3 <\/em><a href=\"http:\/\/app.py\" rel=\"noopener noreferrer nofollow\"><em>app.py<\/em><\/a><\/p>\n<\/li>\n<li>\n<p>The terminal will show that the server is running, typically on\u00a0<a href=\"http:\/\/127.0.0.1:8000\" rel=\"noopener noreferrer nofollow\">http:\/\/127.0.0.1:8000<\/a>.<\/p>\n<\/li>\n<li>\n<p>Open this URL in your web browser. You can now interact with the fully functional to-do application, complete with user registration, login, and task management.<\/p>\n<figure class=\"full-width\">\n<div><figcaption>Run the Generated Application<\/figcaption><\/div>\n<\/figure>\n<\/li>\n<\/ol>\n<h4>Additional Configuration and Tips<\/h4>\n<ul>\n<li>\n<p>Data Privacy: If you wish to prevent your data from being used to train OpenAI models, go to the Codex Settings, where you can find a link to your Data controls on the ChatGPT website to opt-out.<\/p>\n<\/li>\n<li>\n<p>Model Selection: In the advanced settings, you can see which AI model is being used. By default, the extension uses powerful and up-to-date models (like GPT-5, as shown in the video) optimized for coding tasks.<\/p>\n<\/li>\n<\/ul>\n<h3>Video Codex in VS Code Tutorial<\/h3>\n<div class=\"tm-iframe_temp\" data-src=\"https:\/\/embedd.srv.habr.com\/iframe\/68b25532467d162b95b21c6c\" data-style=\"\" id=\"68b25532467d162b95b21c6c\" width=\"\"><\/div>\n<p><strong><em>Watch on YouTube:\u00a0<\/em><\/strong><a href=\"https:\/\/youtu.be\/RaFxPRG98Lg?si=QvSe4Hv-QsozkBfA\" rel=\"noopener noreferrer nofollow\"><strong><em>Codex CLI in VS Code<\/em><\/strong><\/a><\/p>\n<h3>Conclusion<\/h3>\n<p>You\u2019ve now seen how simple it is to get OpenAI\u2019s Codex agent running in VS Code. By following these steps, you can bring a powerful AI pair programmer into your daily workflow, automating tasks and accelerating your projects.<\/p>\n<p>Cheers! \ud83d\ude09<\/p>\n<\/div>\n<\/div>\n<\/div>\n<p><!----><!----><\/div>\n<p><!----><!----><br \/> \u0441\u0441\u044b\u043b\u043a\u0430 \u043d\u0430 \u043e\u0440\u0438\u0433\u0438\u043d\u0430\u043b \u0441\u0442\u0430\u0442\u044c\u0438 <a href=\"https:\/\/habr.com\/ru\/articles\/942214\/\"> https:\/\/habr.com\/ru\/articles\/942214\/<\/a><br \/><\/br><\/br><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-472654","post","type-post","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts\/472654","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=472654"}],"version-history":[{"count":0,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts\/472654\/revisions"}],"wp:attachment":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=472654"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=472654"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=472654"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}