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@malukhambhadiya-max is attempting to deploy a commit to the JS Mastery Pro Team on Vercel. A member of the Team first needs to authorize it. |
WalkthroughA new static HTML page implementing a mobile AI chat application is introduced. The page features a Tailwind-styled chat interface with message history, user input area with textarea, send button, and client-side integration with the Gemini API, including retry logic, markdown formatting, and error handling. Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant UI as Chat UI
participant API as Gemini API
User->>UI: Enter message & click Send
UI->>UI: Disable send button
UI->>UI: Display user message bubble
UI->>UI: Show loading indicator
UI->>API: POST message with retry logic
Note over API: fetchWithRetry handles<br/>429, 5xx, network errors<br/>with exponential backoff
alt Success
API-->>UI: AI response
UI->>UI: Hide loading indicator
UI->>UI: Format & display AI message bubble
else Error
API-->>UI: Error response
UI->>UI: Show error message
UI->>UI: Display fallback message
end
UI->>UI: Enable send button
User->>User: Read response
Estimated code review effort🎯 2 (Simple) | ⏱️ ~15 minutes
Poem
Pre-merge checks and finishing touches✅ Passed checks (3 passed)
✨ Finishing touches🧪 Generate unit tests (beta)
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Actionable comments posted: 4
🧹 Nitpick comments (1)
Html.max (1)
8-8: Consider hosting Tailwind CSS locally for production.Loading Tailwind from a CDN is fine for prototyping but for production deployments, consider using a build process with PostCSS to generate optimized, purged CSS. This improves performance and eliminates external dependencies.
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Html.max(1 hunks)
🔇 Additional comments (2)
Html.max (2)
213-218: LGTM!The keyboard event handling correctly implements the standard chat UX pattern: Enter to send, Shift+Enter for newlines.
157-210: Good error handling and UI state management.The function properly manages UI state, disables controls during requests, and handles errors gracefully. The optional chaining for response parsing (line 191) is good defensive programming. The
systemInstructionformat (lines 176-178) correctly matches the Gemini API specification with the properpartsarray structure containingtextfields.
| const apiKey = ""; // Canvas will automatically provide the API key | ||
| const apiUrl = `https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash-preview-09-2025:generateContent?key=${apiKey}`; |
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🧩 Analysis chain
Critical: Empty API key will cause all requests to fail.
The API key is empty, which will result in authentication failures for all Gemini API requests. The comment mentions that "Canvas will automatically provide the API key," but without implementation, this code is non-functional.
Additionally, verify that the model name gemini-2.5-flash-preview-09-2025 is valid and available.
🌐 Web query:
What is the correct Gemini API model name and is gemini-2.5-flash-preview-09-2025 a valid model?
💡 Result:
The official Gemini API model names use codes like gemini-2.5-pro, gemini-2.5-flash, gemini-2.5-flash-lite, gemini-live-2.5-flash-preview, and preview variants such as gemini-2.5-flash-preview-05-20 (see Google’s Gemini models list). [1]
The specific name gemini-2.5-flash-preview-09-2025 does not appear in Google’s published model list and is not listed as a valid model code in the official documentation, so it is not a recognized/official model name. [1]
Critical: Empty API key and invalid model name will prevent requests from functioning.
The API key is empty with a comment suggesting Canvas will automatically provide it, but without implementation this code will fail authentication. Additionally, the model name gemini-2.5-flash-preview-09-2025 is not a valid/official Gemini model—use a recognized model such as gemini-2.5-flash or gemini-2.5-pro instead.
🤖 Prompt for AI Agents
In Html.max around lines 95 to 96, the code hardcodes an empty apiKey and uses
an invalid model name; replace the empty string with a proper retrieval of the
API key (read from environment variables or the Canvas-provided runtime/context
and validate it exists, throw or log an error if missing) and update the model
in the URL to a valid Gemini model (for example use "gemini-2.5-flash" or
"gemini-2.5-pro"); ensure the final URL is assembled only after confirming the
apiKey is non-empty and the model string is valid.
| function addMessage(text, isUser) { | ||
| const container = document.createElement('div'); | ||
| container.className = `flex ${isUser ? 'justify-end' : 'justify-start'}`; | ||
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| const bubble = document.createElement('div'); | ||
| bubble.className = `p-3 rounded-2xl max-w-[80%] shadow-md transition-all duration-300 ${ | ||
| isUser | ||
| ? 'bg-gemini-blue text-white rounded-br-none' | ||
| : 'bg-gray-200 text-gray-800 rounded-bl-none' | ||
| }`; | ||
|
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||
| // Format markdown content for better readability (simple approach) | ||
| const formattedText = text | ||
| .replace(/\*\*(.*?)\*\*/g, '<strong>$1</strong>') | ||
| .replace(/\*(.*?)\*/g, '<em>$1</em>') | ||
| .replace(/^- /gm, '<br>• '); | ||
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| bubble.innerHTML = formattedText; | ||
| container.appendChild(bubble); | ||
| chatHistory.appendChild(container); | ||
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| // Scroll to the bottom | ||
| chatHistory.scrollTop = chatHistory.scrollHeight; | ||
| } |
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Critical: XSS vulnerability via innerHTML.
Using innerHTML to insert user input and AI responses (line 116) creates a cross-site scripting (XSS) vulnerability. Malicious content in either the user's message or the AI's response could execute arbitrary JavaScript.
Use textContent or sanitize HTML with a library like DOMPurify:
- bubble.innerHTML = formattedText;
+ // Option 1: Use textContent (safe but no formatting)
+ bubble.textContent = text;
+
+ // Option 2: Sanitize HTML first (if you need formatting)
+ // Include DOMPurify library and use:
+ // bubble.innerHTML = DOMPurify.sanitize(formattedText);If formatting is essential, consider using textContent combined with manual DOM element creation for bold/italic tags, or integrate a markdown library with built-in XSS protection.
| const formattedText = text | ||
| .replace(/\*\*(.*?)\*\*/g, '<strong>$1</strong>') | ||
| .replace(/\*(.*?)\*/g, '<em>$1</em>') | ||
| .replace(/^- /gm, '<br>• '); |
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Minor: Extra line break before bullet points.
The regex replace(/^- /gm, '<br>• ') adds a <br> tag before each bullet, which may create unwanted vertical spacing at the start of lists.
Consider removing the leading <br>:
- .replace(/^- /gm, '<br>• ');
+ .replace(/^- /gm, '• ')
+ .replace(/\n/g, '<br>'); // Handle newlines separately if needed📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| .replace(/^- /gm, '<br>• '); | |
| .replace(/^- /gm, '• ') | |
| .replace(/\n/g, '<br>'); // Handle newlines separately if needed |
🤖 Prompt for AI Agents
In Html.max around line 114, the replacement currently inserts a '<br>' before
every bullet which causes extra vertical spacing; remove the leading '<br>' from
the replacement so bullets are replaced with just the bullet character and a
space (e.g., replace with '• ') or adjust the regex to only add '<br>'
when not at the start of the string or list, ensuring bullets at the start don't
get the extra line break.
| async function fetchWithRetry(url, options, maxRetries = 5) { | ||
| for (let attempt = 0; attempt < maxRetries; attempt++) { | ||
| try { | ||
| const response = await fetch(url, options); | ||
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||
| if (response.status === 429 || response.status >= 500) { | ||
| // Retry for rate limiting (429) or server errors (5xx) | ||
| const delay = Math.pow(2, attempt) * 1000 + (Math.random() * 1000); // 1s, 2s, 4s, 8s, 16s + jitter | ||
| if (attempt < maxRetries - 1) { | ||
| console.warn(`Attempt ${attempt + 1} failed with status ${response.status}. Retrying in ${Math.round(delay / 1000)}s...`); | ||
| await new Promise(resolve => setTimeout(resolve, delay)); | ||
| continue; | ||
| } | ||
| } | ||
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| if (!response.ok) { | ||
| throw new Error(`HTTP error! status: ${response.status}`); | ||
| } | ||
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| return response; // Successful response | ||
| } catch (error) { | ||
| console.error("Fetch error:", error.message); | ||
| if (attempt === maxRetries - 1) { | ||
| throw new Error("Failed to connect to the AI service after multiple retries."); | ||
| } | ||
| // Delay is handled within the 429/5xx block, but a general catch for network issues needs a minimal delay | ||
| const delay = Math.pow(2, attempt) * 500; | ||
| await new Promise(resolve => setTimeout(resolve, delay)); | ||
| } | ||
| } | ||
| } |
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Major: Missing return statement and inconsistent retry logic.
The fetchWithRetry function has two issues:
-
No return value after loop completion: If all retry attempts are exhausted without returning, the function returns
undefinedimplicitly. -
Inconsistent delay calculations: Retries for 429/5xx use a base of 1000ms with jitter (line 132), while network errors in the catch block use 500ms without jitter (line 151).
Apply this refactor to fix the logic:
async function fetchWithRetry(url, options, maxRetries = 5) {
+ let lastError;
for (let attempt = 0; attempt < maxRetries; attempt++) {
try {
const response = await fetch(url, options);
if (response.status === 429 || response.status >= 500) {
- // Retry for rate limiting (429) or server errors (5xx)
- const delay = Math.pow(2, attempt) * 1000 + (Math.random() * 1000); // 1s, 2s, 4s, 8s, 16s + jitter
if (attempt < maxRetries - 1) {
+ const delay = Math.pow(2, attempt) * 1000 + (Math.random() * 1000);
console.warn(`Attempt ${attempt + 1} failed with status ${response.status}. Retrying in ${Math.round(delay / 1000)}s...`);
await new Promise(resolve => setTimeout(resolve, delay));
continue;
+ } else {
+ throw new Error(`HTTP error! status: ${response.status}`);
}
}
if (!response.ok) {
throw new Error(`HTTP error! status: ${response.status}`);
}
return response; // Successful response
} catch (error) {
+ lastError = error;
console.error("Fetch error:", error.message);
if (attempt === maxRetries - 1) {
- throw new Error("Failed to connect to the AI service after multiple retries.");
+ break;
}
- // Delay is handled within the 429/5xx block, but a general catch for network issues needs a minimal delay
- const delay = Math.pow(2, attempt) * 500;
+ const delay = Math.pow(2, attempt) * 1000 + (Math.random() * 1000);
await new Promise(resolve => setTimeout(resolve, delay));
}
}
+ throw new Error(`Failed to connect to the AI service after ${maxRetries} retries: ${lastError?.message || 'Unknown error'}`);
}🤖 Prompt for AI Agents
In Html.max around lines 125-155, fetchWithRetry lacks an explicit return/throw
when all attempts fail and uses inconsistent delay logic; update it to compute a
single delay per attempt (use baseMs = 1000, exponential backoff Math.pow(2,
attempt) with jitter Math.random()*1000 for both 429/5xx and network errors),
await that delay before retrying, and on the final attempt throw a descriptive
error (do not let the function implicitly return undefined); ensure response.ok
handling still returns the response on success.
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New Features