` for proper formatting. I will also add the specified font and ensure line breaks are preserved through CSS. If `reasoningContent` *is* detected as plain text, I will wrap the plain text with a `` block to preserve format. This adjustment should accurately render plain string outputs with the desired `Consolas` font and handle line breaks gracefully.\n\n\n**Enforcing HTML Expectations**\n\nI'm now focusing on the expected HTML structure of `reasoningContent`. I'm going to modify `output-handler.js` to handle any cases where the model fails to generate valid HTML for the reasoning content. I'll wrap the plain text with a `` block to apply monospace font and preserve whitespace. Additionally, I'll add the necessary CSS to ensure the output is properly formatted and legible.\n\n\n**Confirming Plain Text Handling**\n\nI've determined that reasoning models are *sometimes* returning plain text, despite instructions for HTML output. I'll implement a conditional wrapper in `output-handler.js` to wrap plain text with `` for proper formatting. This also sets the `Consolas` font and ensures line breaks are preserved with CSS.\n\n\n**Evaluating Content Format**\n\nI've determined I need a conditional wrapper in `output-handler.js`. The goal is to identify and process plain text `reasoningContent`. If the extracted content isn't a properly formatted HTML string, I'll wrap it in a `` block to preserve format. This wrapper ensures line breaks and monospace rendering with `Consolas` are properly applied to any plain string `reasoningContent`.\n\n\n**Implementing Plain Text Rendering**\n\nI'm now focusing on a conditional wrapper to handle potential plain text `reasoningContent`. If the extracted content isn't a properly formatted HTML string, I'll wrap it in a `` block to preserve format. This wrapper ensures line breaks and monospace rendering with `Consolas` are applied to any plain string `reasoningContent`.\n\n\n**Analyzing Plain Text**\n\nI've determined that the `reasoningContent` might sometimes be plain text instead of the expected HTML. To handle this, I'll implement a wrapper in `output-handler.js`. The wrapper will check if the content starts with the expected HTML structure. If it's plain text, I'll wrap it in a `` block to preserve formatting and apply the `Consolas` font through CSS.\n\n\n**Evaluating Plain Text Detection**\n\nI'm now focusing on a conditional wrapper to handle cases where the reasoning model generates plain text instead of the expected HTML. I will check `reasoningContent` to see if it starts with the `` tag. If it's plain text, I'll wrap it in a `` block to preserve format. This ensures line breaks and `Consolas` are properly applied.\n\n\n**Adjusting Plain Text Handling**\n\nI've been working on the conditional wrapper in `output-handler.js` to manage potential plain text outputs. If the `reasoningContent` *isn't* an HTML string (specifically, doesn't start with ``), I'll wrap it within `` to ensure proper format. Concurrently, I've adjusted the CSS to apply the desired `Consolas` font and handle line breaks correctly.\n\nI'm implementing a check to confirm if `reasoningContent` is plain text. If so, I'll wrap it in a `` block to preserve formatting. This wraps the content within the `` block and it sets the `Consolas` font and ensure line breaks are preserved with CSS. I've also integrated the `Consolas` font for proper text rendering.\n\n\n\n```output-handler.js\n```\n```output.css\n```","project",{"_61":109,"_62":111,"_66":112,"_113":114,"_82":83,"_115":116,"_57":117,"_118":119,"_120":121,"_122":123,"_64":-5,"_124":-5,"_106":-5,"_125":37,"_126":127,"_134":43,"_135":136,"_137":138,"_139":43,"_140":-5,"_141":142,"_146":-5},"50dx8kyu454m9p6n9kkk","2025-01-22T21:13:35.962145+00:00","updated_at","2025-07-19T17:50:03.335+00:00","visibility","public","ai-code-generator","created_by",{"_61":20,"_62":94,"_66":95,"_96":97,"_98":-5,"_99":-5,"_100":101,"_102":43},"current_version",403,"last_posted_version",399,"parent_version","posted","stats",{"_128":129,"_130":131,"_132":133},"views",5652,"likes",184,"comments",57,"auto_set_current","description","Generate code from prompt or explain, review, or comment your provided code here!","comments_mode","open","enable_chat","from_template","domains",[143],{"_144":145},"name","codegen.on.websim.ai","thumbnail","project_revision",{"_61":147,"_62":149,"_74":123,"_66":150,"_151":-5,"_64":-5,"_152":153,"_154":111,"_118":155,"_156":157,"_159":111,"_113":160,"_106":-5,"_126":161,"_164":43,"_165":63,"_166":-5,"_167":-5,"_168":169},"0197f71c-578f-7758-bc08-b35ce146593f","2025-07-11T01:31:59.247+00:00","visited_at","parent_revision_version",398,"parent_revision_project_id",{"_61":20,"_62":94,"_66":95,"_96":97,"_98":-5,"_99":-5,"_100":101,"_102":43},"meta",{"_74":158},"1","project_id","2025-07-12T01:24:26.603+00:00",{"_162":163},"multiplayer_count",0,"draft","site_id","chat_session_id","chat_session_run_index","current_screenshot_url","https://project-screenshots.websim.com/0197f71d-a69d-7355-9465-d77a7fcce9b1","cursor","eyJpZCI6IjAxOTdmNzFjLTU3OGYtNzc1OC1iYzA4LWIzNWNlMTQ2NTkzZiJ9","token","included",[],"branch","dehydratedState","routes/browser/layout","actionData","errors"]
AI Code Generator
