88
codex-cli/examples/build-codex-demo/task.yaml
Normal file
88
codex-cli/examples/build-codex-demo/task.yaml
Normal file
@@ -0,0 +1,88 @@
|
||||
name: "build-codex-demo"
|
||||
description: |
|
||||
I want you to reimplement the original OpenAI Codex demo.
|
||||
|
||||
Functionality:
|
||||
- User types a prompt and hits enter to send
|
||||
- The prompt is added to the conversation history
|
||||
- The backend calls the OpenAI API with stream: true
|
||||
- Tokens are streamed back and appended to the code viewer
|
||||
- Syntax highlighting updates in real time
|
||||
- When a full HTML file is received, it is rendered in a sandboxed iframe
|
||||
- The iframe replaces the previous preview with the new HTML after the stream is complete (i.e. keep the old preview until a new stream is complete)
|
||||
- Append each assistant and user message to preserve context across turns
|
||||
- Errors are displayed to user gracefully
|
||||
- Ensure there is a fixed layout is responsive and faithful to the screenshot design
|
||||
- Be sure to parse the ouput from OpenAI call to strip the ```html tags code is returned within
|
||||
- Use the system prompt shared in the API call below to ensure the AI only returns HTML
|
||||
|
||||
Support a simple local backend that can:
|
||||
- Read local env for OPENAI_API_KEY
|
||||
- Expose an endpoint that streams completions from OpenAI
|
||||
- Backend should be a simple node.js app
|
||||
- App should be easy to run locally for development and testing
|
||||
- Minimal setup preferred — keep dependencies light unless justified
|
||||
|
||||
Description of layout and design:
|
||||
- Two stacked panels, vertically aligned:
|
||||
- Top Panel: Main interactive area with two main parts
|
||||
- Left Side: Visual output canvas. Mostly blank space with a small image preview in the upper-left
|
||||
- Right Side: Code display area
|
||||
- Light background with code shown in a monospace font
|
||||
- Comments in green; code aligns vertically like an IDE/snippet view
|
||||
- Bottom Panel: Prompt/command bar
|
||||
- A single-line text box with a placeholder prompt
|
||||
- A green arrow (submit button) on the right side
|
||||
- Scrolling should only be supported in the code editor and output canvas
|
||||
|
||||
Visual style
|
||||
- Minimalist UI, light and clean
|
||||
- Neutral white/gray background
|
||||
- Subtle shadow or border around both panels, giving them card-like elevation
|
||||
- Code section is color-coded, likely for syntax highlighting
|
||||
- Interactive feel with the text input styled like a chat/message interface
|
||||
|
||||
Here's the latest OpenAI API and prompt to use:
|
||||
```
|
||||
import OpenAI from "openai";
|
||||
|
||||
const openai = new OpenAI({
|
||||
apiKey: process.env.OPENAI_API_KEY,
|
||||
});
|
||||
|
||||
const response = await openai.responses.create({
|
||||
model: "gpt-4.1",
|
||||
input: [
|
||||
{
|
||||
"role": "system",
|
||||
"content": [
|
||||
{
|
||||
"type": "input_text",
|
||||
"text": "You are a coding agent that specializes in frontend code. Whenever you are prompted, return only the full HTML file."
|
||||
}
|
||||
]
|
||||
}
|
||||
],
|
||||
text: {
|
||||
"format": {
|
||||
"type": "text"
|
||||
}
|
||||
},
|
||||
reasoning: {},
|
||||
tools: [],
|
||||
temperature: 1,
|
||||
top_p: 1
|
||||
});
|
||||
|
||||
console.log(response.output_text);
|
||||
```
|
||||
Additional things to note:
|
||||
- Strip any html and tags from the OpenAI response before rendering
|
||||
- Assume the OpenAI API model response always wraps HTML in markdown-style triple backticks like ```html <code> ```
|
||||
- The display code window should have syntax highlighting and line numbers.
|
||||
- Make sure to only display the code, not the backticks or ```html that wrap the code from the model.
|
||||
- Do not inject raw markdown; only parse and insert pure HTML into the iframe
|
||||
- Only the code viewer and output panel should scroll
|
||||
- Keep the previous preview visible until the full new HTML has streamed in
|
||||
|
||||
Add a README.md with what you've implemented and how to run it.
|
||||
Reference in New Issue
Block a user