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When providing a specific prompt to the LLM, the response includes multiple types of content (JSON, XML, plain text, HTML, Markdown, and shell script) in a single output, which is not expected.
Steps to Reproduce
Open the LLM interface.
Provide the following prompt:
document.addEventListener('DOMContentLoaded', () => {
const editorContainer = document.querySelector('.editor-content');
// Load tabs and editors from localStorage
let tabsData = JSON.parse(localStorage.getItem('tabs')) || [
{ index: 0, content: '' }
];
let tabIndex = tabsData.length - 1;
function updateLineNumbers(index) {
const editor = document.getElementById(codeEditor${index});
const lines = editor.value.split('\n').length;
let lineNumbersHTML = '';
for (let i = 1; i <= lines; i++) {
lineNumbersHTML += `<span>${i}</span><br>`;
}
document.getElementById(`lineNumbers${index}`).innerHTML = lineNumbersHTML;
}
function setActiveTab(tabIndex) {
// Hide all editors and line numbers
document.querySelectorAll('.code-editor').forEach(editor => editor.classList.add('hidden'));
document.querySelectorAll('.line-numbers').forEach(lineNumbers => lineNumbers.classList.add('hidden'));
// Show the selected editor and line numbers
const activeEditor = document.getElementById(`codeEditor${tabIndex}`);
const activeLineNumbers = document.getElementById(`lineNumbers${tabIndex}`);
if (activeEditor && activeLineNumbers) {
activeEditor.classList.remove('hidden');
activeLineNumbers.classList.remove('hidden');
// Update line numbers for the active editor
updateLineNumbers(tabIndex);
}
// Update active tab styling
document.querySelectorAll('.tab').forEach(tab => tab.classList.remove('active'));
document.querySelector(`.tab[data-index="${tabIndex}"]`).classList.add('active');
// Set up event listeners for the new tab
newTab.addEventListener('click', () => {
const newIndex = parseInt(newTab.getAttribute('data-index'), 10);
setActiveTab(newIndex);
});
newCodeEditor.addEventListener('input', () => {
updateLineNumbers(tabIndex);
saveTabsState();
});
// Activate the new tab immediately after adding it
setActiveTab(tabIndex);
saveTabsState();
try {
// Open the code in a new browser tab
const newTab = window.open();
newTab.document.open();
newTab.document.write(codeContent);
newTab.document.close();
} catch (error) {
console.error("Error running code:", error);
}
});
// Save tabs state on input change
document.querySelectorAll('.code-editor').forEach(editor => {
editor.addEventListener('input', () => {
saveTabsState();
});
});
// Save tabs state when the window is about to be unloaded
window.addEventListener('beforeunload', () => {
saveTabsState();
});
});
Expected Behavior
The LLM should generate a single, coherent response that matches the input prompt, such as a properly formatted JavaScript code snippet or an explanation related to the provided code.
Actual Behavior
The LLM generates a response that includes multiple types of content, such as:
json
y
{
"message": "Your JSON response has been successfully generated!",
"status": "success"
}
xml
Your XML response has been successfully generated!
success
Run HTML
Your plain text response has been successfully generated!
html
<title>Response</title>
Your HTML response has been successfully generated!
Run HTML
markdown
# Your Markdown response has been successfully generated!
bash
echo "Your shell script response has been successfully generated!"
The text was updated successfully, but these errors were encountered:
TheChii
changed the title
[BUG] <title> Unrequested tasks? </title>
[BUG] <title>LLM Generates Inconsistent and Mixed Content Types in Response </title>
Jan 25, 2025
Description
When providing a specific prompt to the LLM, the response includes multiple types of content (JSON, XML, plain text, HTML, Markdown, and shell script) in a single output, which is not expected.
Steps to Reproduce
Open the LLM interface.
Provide the following prompt:
document.addEventListener('DOMContentLoaded', () => {
const editorContainer = document.querySelector('.editor-content');
// Load tabs and editors from localStorage
let tabsData = JSON.parse(localStorage.getItem('tabs')) || [
{ index: 0, content: '' }
];
let tabIndex = tabsData.length - 1;
function createNewTab() {
tabIndex++;
const newTab = document.createElement('button');
newTab.className = 'tab';
newTab.textContent =
Tab ${tabIndex + 1}
;newTab.setAttribute('data-index', tabIndex);
}
function updateLineNumbers(index) {
const editor = document.getElementById(
codeEditor${index}
);const lines = editor.value.split('\n').length;
let lineNumbersHTML = '';
}
function setActiveTab(tabIndex) {
// Hide all editors and line numbers
document.querySelectorAll('.code-editor').forEach(editor => editor.classList.add('hidden'));
document.querySelectorAll('.line-numbers').forEach(lineNumbers => lineNumbers.classList.add('hidden'));
}
document.querySelector('.tabs').addEventListener('click', (event) => {
if (event.target.classList.contains('tab')) {
const tabIndex = parseInt(event.target.getAttribute('data-index'), 10);
setActiveTab(tabIndex);
}
});
// Initial call to set up the first tab
setActiveTab(tabsData[0].index);
// Add new tab functionality
const addTabButton = document.querySelector('.add-tab');
addTabButton.addEventListener('click', () => {
const { newTab, newLineNumberContainer, newCodeEditor } = createNewTab();
});
// Run button functionality
const runButton = document.querySelector('.run-button');
runButton.addEventListener('click', () => {
const activeTabIndex = parseInt(document.querySelector('.tab.active').getAttribute('data-index'), 10);
const activeEditor = document.getElementById(
codeEditor${activeTabIndex}
);const codeContent = activeEditor.value;
});
// Save tabs state on input change
document.querySelectorAll('.code-editor').forEach(editor => {
editor.addEventListener('input', () => {
saveTabsState();
});
});
// Save tabs state when the window is about to be unloaded
window.addEventListener('beforeunload', () => {
saveTabsState();
});
});
Expected Behavior
The LLM should generate a single, coherent response that matches the input prompt, such as a properly formatted JavaScript code snippet or an explanation related to the provided code.
Actual Behavior
The LLM generates a response that includes multiple types of content, such as:
json
Your XML response has been successfully generated! success Run HTMLy
{
"message": "Your JSON response has been successfully generated!",
"status": "success"
}
xml
Your plain text response has been successfully generated!
<title>Response</title>html
Your HTML response has been successfully generated!
Run HTML markdown # Your Markdown response has been successfully generated! bash echo "Your shell script response has been successfully generated!"The text was updated successfully, but these errors were encountered: