Files
jarvis-lan/chatv2.js
2025-12-28 05:11:34 +01:00

683 lines
19 KiB
JavaScript

const BACKENDS = {
plato: {
prod: '/api/plato',
dev: 'http://192.168.1.74:8080/v1',
name: 'Plato (192.168.1.74)'
},
stoic: {
prod: '/api/stoic',
dev: 'http://192.168.1.159:1234/v1',
name: 'Stoic (192.168.1.159)'
},
ollama: {
prod: '/api/ollama',
dev: 'http://192.168.1.159:8081/v1',
name: 'Ollama (192.168.1.159:8081)'
}
}
const IS_PRODUCTION = window.location.hostname === 'jarvis-lan.appmodel.nl'
const API_KEY = 'not-needed'
const MAX_CHAT_HISTORY = 50
let currentBackendModel = null
let availableBackendModels = []
let currentStreamController = null
let isStreaming = false
let chatHistory = JSON.parse(localStorage.getItem('chatHistory')) || []
// ✅ FIX: Generate unique IDs and validate message structure
chatHistory = chatHistory.map((message, index) => ({
role: message.role || 'user',
content: message.content || '',
markdown: message.markdown || false,
messageId: message.messageId || `msg-${Date.now()}-${index}`
})).filter(msg => msg.content && typeof msg.content === 'string')
const welcomeMessage = `# Welcome to LM Studio Chat!
I now support **full conversation history**, **real-time streaming responses** and **dark, readable text formatting**.
## Features:
1. **Full Chat History** - Complete conversation context is now sent to the AI
2. **Smart History Management** - Automatically keeps the last ${MAX_CHAT_HISTORY} messages
3. **Streaming Mode** (enabled by default) - Watch responses appear word-by-word
4. **Markdown Rendering** - Proper formatting for code, lists, tables, and more
5. **Readable Dark Text** - No more eye strain from light gray text
## Try it out:
- Ask follow-up questions that reference earlier messages
- Have a multi-turn conversation with full context
- Ask "what did I just ask?" to test history retention
- Watch the streaming response in real-time!
> *Tip: You can toggle streaming and markdown using the checkboxes below.*`
// ✅ NEW: Robust parser for backend:model format
function splitBackendModel(value) {
if (!value || value === ':') {
return { backendKey: '', model: '' };
}
const colonIndex = value.indexOf(':');
if (colonIndex === -1) {
return { backendKey: value, model: '' };
}
return {
backendKey: value.substring(0, colonIndex),
model: value.substring(colonIndex + 1)
};
}
function getApiUrl() {
const { backendKey, model } = splitBackendModel(currentBackendModel);
const effectiveBackendKey = backendKey || 'plato';
const backend = BACKENDS[effectiveBackendKey];
if (!backend) {
throw new Error(`Invalid backend: '${effectiveBackendKey}'`);
}
return IS_PRODUCTION ? backend.prod : backend.dev;
}
function updateBackendModelDisplay() {
const { backendKey, model } = splitBackendModel(currentBackendModel);
const backend = BACKENDS[backendKey];
if (!backend) return;
const displayText = IS_PRODUCTION
? `${backend.prod} - ${backend.name}`
: backend.dev;
const displayElement = document.getElementById('backendDisplay');
if (displayElement) {
displayElement.textContent = `${displayText} - Model: ${model || 'None'}`;
}
}
async function fetchBackendModels() {
try {
// ✅ FIX: Ensure valid backend before fetching
if (!currentBackendModel || currentBackendModel === ':') {
currentBackendModel = 'plato';
}
const apiUrl = getApiUrl();
console.log(`Fetching models from: ${apiUrl}`);
const response = await fetch(`${apiUrl}/models`);
const selector = document.getElementById('backendModelSelector');
if (response.ok) {
const data = await response.json();
const { backendKey } = splitBackendModel(currentBackendModel);
const effectiveBackendKey = backendKey || 'plato';
availableBackendModels = data.data.map(model => ({
backend: effectiveBackendKey,
model: model.id
}));
populateBackendModelSelector();
// ✅ FIX: Only auto-select if no model is set
const hasModel = currentBackendModel && currentBackendModel.includes(':') && currentBackendModel.split(':')[1];
if (!hasModel && availableBackendModels.length > 0 && selector) {
currentBackendModel = `${availableBackendModels[0].backend}:${availableBackendModels[0].model}`;
selector.value = currentBackendModel;
}
updateBackendModelDisplay();
} else {
console.error('Failed to fetch models:', response.statusText);
if (selector) {
selector.innerHTML = '<option value="">Error loading models</option>';
}
}
} catch (error) {
console.error('Error fetching models:', error);
const selector = document.getElementById('backendModelSelector');
if (selector) {
selector.innerHTML = '<option value="">Error loading models</option>';
}
}
}
function populateBackendModelSelector() {
const selector = document.getElementById('backendModelSelector');
if (!selector) return;
if (availableBackendModels.length === 0) {
selector.innerHTML = '<option value="">No models available</option>';
return;
}
selector.innerHTML = availableBackendModels.map(backendModel =>
`<option value="${backendModel.backend}:${backendModel.model}">${BACKENDS[backendModel.backend].name} - ${backendModel.model}</option>`
).join('');
if (currentBackendModel) {
selector.value = currentBackendModel;
}
}
function getApiMessages() {
return chatHistory.slice(-MAX_CHAT_HISTORY).map(({ role, content }) => ({
role,
content
}));
}
function trimChatHistory() {
if (chatHistory.length > MAX_CHAT_HISTORY) {
chatHistory = chatHistory.slice(-MAX_CHAT_HISTORY);
localStorage.setItem('chatHistory', JSON.stringify(chatHistory));
}
}
document.addEventListener('DOMContentLoaded', () => {
const backendModelSelector = document.getElementById('backendModelSelector');
if (backendModelSelector) {
backendModelSelector.addEventListener('change', (e) => {
currentBackendModel = e.target.value;
updateBackendModelDisplay();
fetchBackendModels();
});
}
});
const chatLog = document.getElementById('chatLog');
const userInput = document.getElementById('userInput');
const sendBtn = document.getElementById('sendBtn');
const streamToggle = document.getElementById('streamToggle');
const markdownToggle = document.getElementById('markdownToggle');
const modelNameSpan = document.getElementById('modelName');
marked.setOptions({
gfm: true,
breaks: true,
highlight: function(code, lang) {
if (window.hljs) {
const language = hljs.getLanguage(lang) ? lang : 'plaintext';
return hljs.highlight(code, { language }).value;
}
return code;
}
});
function autoResize(textarea) {
textarea.style.height = 'auto';
textarea.style.height = Math.min(textarea.scrollHeight, 300) + 'px';
}
function addMessage(role, content, markdown = false, messageId = null, saveToHistory = true) {
const messageDiv = document.createElement('div');
messageDiv.className = `message message-${role}`;
if (messageId) {
messageDiv.id = messageId;
}
const headerDiv = document.createElement('div');
headerDiv.className = `message-header ${role}`;
const avatar = document.createElement('div');
avatar.className = `avatar ${role}-avatar`;
avatar.textContent = role === 'user' ? '👤' : '🤖';
const name = document.createElement('span');
name.textContent = role === 'user' ? 'You' : 'Assistant';
headerDiv.appendChild(avatar);
headerDiv.appendChild(name);
const contentDiv = document.createElement('div');
if (markdown && role === 'assistant' && markdownToggle.checked) {
contentDiv.className = 'markdown-content';
const processedContent = parseThinkingTags(content);
contentDiv.innerHTML = marked.parse(processedContent);
if (window.hljs) {
setTimeout(() => {
contentDiv.querySelectorAll('pre code').forEach((block) => {
hljs.highlightElement(block);
});
}, 0);
}
} else {
const processedContent = parseThinkingTags(content);
contentDiv.innerHTML = processedContent;
contentDiv.style.whiteSpace = 'pre-wrap';
contentDiv.style.padding = '8px 0';
contentDiv.style.color = '#e0e0e0';
}
messageDiv.appendChild(headerDiv);
messageDiv.appendChild(contentDiv);
if (chatLog) {
chatLog.appendChild(messageDiv);
chatLog.scrollTop = chatLog.scrollHeight;
}
if (saveToHistory) {
chatHistory.push({ role, content, markdown, messageId });
trimChatHistory();
localStorage.setItem('chatHistory', JSON.stringify(chatHistory));
}
return contentDiv;
}
function parseThinkingTags(content) {
let result = content;
let thinkingCounter = 0;
const completeThinkRegex = /\[THINK\]([\s\S]*?)\[\/THINK\]/gi;
result = result.replace(completeThinkRegex, (match, thinkContent) => {
thinkingCounter++;
const id = `thinking-${Date.now()}-${thinkingCounter}`;
return `<div class="thinking-block">
<div class="thinking-header" onclick="toggleThinking('${id}')">
<span class="thinking-toggle" id="${id}-toggle">?</span>
<span>? Thinking...</span>
</div>
<div class="thinking-content" id="${id}">${thinkContent.trim()}</div>
</div>`;
});
const incompleteThinkRegex = /\[THINK\]([\s\S]*?)$/gi;
result = result.replace(incompleteThinkRegex, (match, thinkContent) => {
thinkingCounter++;
const id = `thinking-${Date.now()}-${thinkingCounter}`;
return `<div class="thinking-block">
<div class="thinking-header" onclick="toggleThinking('${id}')">
<span class="thinking-toggle" id="${id}-toggle">?</span>
<span>? Thinking...</span>
</div>
<div class="thinking-content" id="${id}">${thinkContent.trim()}</div>
</div>`;
});
return result;
}
window.toggleThinking = function(id) {
const content = document.getElementById(id);
const toggle = document.getElementById(id + '-toggle');
if (content && toggle) {
content.classList.toggle('hidden');
toggle.classList.toggle('collapsed');
}
};
function updateMessageContent(contentDiv, newContent, markdown = false, role) {
const processedContent = parseThinkingTags(newContent);
if (markdown && role === 'assistant' && markdownToggle && markdownToggle.checked) {
contentDiv.innerHTML = marked.parse(processedContent);
if (window.hljs) {
setTimeout(() => {
contentDiv.querySelectorAll('pre code').forEach((block) => {
hljs.highlightElement(block);
});
}, 0);
}
} else {
contentDiv.innerHTML = processedContent;
contentDiv.style.whiteSpace = 'pre-wrap';
contentDiv.style.padding = '8px 0';
contentDiv.style.color = '#e0e0e0';
}
if (chatLog) {
chatLog.scrollTop = chatLog.scrollHeight;
}
}
function showTypingIndicator() {
const typingDiv = document.createElement('div');
typingDiv.id = 'typingIndicator';
typingDiv.className = 'message message-assistant';
const headerDiv = document.createElement('div');
headerDiv.className = 'message-header assistant';
const avatar = document.createElement('div');
avatar.className = 'avatar assistant-avatar';
avatar.textContent = '🤖';
const name = document.createElement('span');
name.textContent = 'Assistant';
headerDiv.appendChild(avatar);
headerDiv.appendChild(name);
const dotsDiv = document.createElement('div');
dotsDiv.className = 'typing-indicator';
dotsDiv.innerHTML = `
<div class="typing-dot"></div>
<div class="typing-dot"></div>
<div class="typing-dot"></div>
<span style="margin-left: 8px;">Thinking...</span>
`;
typingDiv.appendChild(headerDiv);
typingDiv.appendChild(dotsDiv);
if (chatLog) {
chatLog.appendChild(typingDiv);
chatLog.scrollTop = chatLog.scrollHeight;
}
return typingDiv;
}
function removeTypingIndicator(typingDiv) {
if (typingDiv && typingDiv.parentNode) {
typingDiv.parentNode.removeChild(typingDiv);
}
}
async function handleStreamingResponse(userMessage) {
const messageId = 'msg-' + Date.now();
let accumulatedContent = '';
let contentDiv = null;
const messageDiv = document.createElement('div');
messageDiv.className = 'message message-assistant';
messageDiv.id = messageId;
const headerDiv = document.createElement('div');
headerDiv.className = 'message-header assistant';
const avatar = document.createElement('div');
avatar.className = 'avatar assistant-avatar';
avatar.textContent = '🤖';
const name = document.createElement('span');
name.textContent = 'Assistant';
headerDiv.appendChild(avatar);
headerDiv.appendChild(name);
contentDiv = document.createElement('div');
contentDiv.className = 'markdown-content';
messageDiv.appendChild(headerDiv);
messageDiv.appendChild(contentDiv);
if (chatLog) {
chatLog.appendChild(messageDiv);
}
const cursorSpan = document.createElement('span');
cursorSpan.className = 'streaming-cursor';
contentDiv.appendChild(cursorSpan);
// ✅ FIX: Create AbortController BEFORE fetch
currentStreamController = new AbortController();
isStreaming = true;
try {
const { backendKey, model } = splitBackendModel(currentBackendModel);
const selectedModel = model || availableBackendModels[0]?.model || 'local-model';
const requestBody = {
model: selectedModel,
messages: getApiMessages(),
stream: true,
temperature: 0.7,
max_tokens: 2000
};
const response = await fetch(`${getApiUrl()}/chat/completions`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${API_KEY}`
},
body: JSON.stringify(requestBody),
signal: currentStreamController.signal // ✅ Now works correctly
});
if (!response.ok) {
throw new Error(`API Error: ${response.status} ${response.statusText}`);
}
const reader = response.body.getReader();
const decoder = new TextDecoder();
let updateScheduled = false;
let lastUpdate = Date.now();
const MIN_UPDATE_INTERVAL = 100;
function scheduleUpdate() {
if (updateScheduled) return;
const now = Date.now();
const timeSinceLastUpdate = now - lastUpdate;
if (timeSinceLastUpdate >= MIN_UPDATE_INTERVAL) {
updateScheduled = true;
requestAnimationFrame(() => {
updateMessageContent(contentDiv, accumulatedContent, markdownToggle && markdownToggle.checked, 'assistant');
if (cursorSpan.parentNode) {
contentDiv.appendChild(cursorSpan);
}
if (chatLog) {
chatLog.scrollTop = chatLog.scrollHeight;
}
lastUpdate = Date.now();
updateScheduled = false;
});
} else {
updateScheduled = true;
setTimeout(() => {
requestAnimationFrame(() => {
updateMessageContent(contentDiv, accumulatedContent, markdownToggle && markdownToggle.checked, 'assistant');
if (cursorSpan.parentNode) {
contentDiv.appendChild(cursorSpan);
}
if (chatLog) {
chatLog.scrollTop = chatLog.scrollHeight;
}
lastUpdate = Date.now();
updateScheduled = false;
});
}, MIN_UPDATE_INTERVAL - timeSinceLastUpdate);
}
}
while (true) {
const { done, value } = await reader.read();
if (done) break;
const chunk = decoder.decode(value);
const lines = chunk.split('\n').filter(line => line.trim() !== '');
for (const line of lines) {
if (line.startsWith('data: ')) {
const data = line.slice(6);
if (data === '[DONE]') {
isStreaming = false;
currentStreamController = null;
updateMessageContent(contentDiv, accumulatedContent, markdownToggle.checked, 'assistant');
if (cursorSpan.parentNode) {
cursorSpan.parentNode.removeChild(cursorSpan);
}
chatLog.scrollTop = chatLog.scrollHeight;
return;
}
try {
const parsed = JSON.parse(data);
if (parsed.choices && parsed.choices[0].delta.content) {
accumulatedContent += parsed.choices[0].delta.content;
scheduleUpdate();
}
} catch (e) {
console.log('Error parsing stream data:', e);
}
}
}
}
updateMessageContent(contentDiv, accumulatedContent, markdownToggle.checked, 'assistant');
chatLog.scrollTop = chatLog.scrollHeight;
} catch (error) {
console.error('Streaming error:', error);
if (error.name !== 'AbortError') {
updateMessageContent(contentDiv, `Error: ${error.message}`, false, 'assistant');
}
} finally {
isStreaming = false;
currentStreamController = null;
sendBtn.disabled = false;
if (cursorSpan && cursorSpan.parentNode) {
cursorSpan.parentNode.removeChild(cursorSpan);
}
}
}
async function handleNonStreamingResponse(userMessage) {
let typingIndicator = null;
try {
typingIndicator = showTypingIndicator();
const { backendKey, model } = splitBackendModel(currentBackendModel);
const selectedModel = model || availableBackendModels[0]?.model || 'local-model';
const requestBody = {
model: selectedModel,
messages: getApiMessages(),
stream: false,
temperature: 0.7,
max_tokens: 2000
};
const response = await fetch(`${getApiUrl()}/chat/completions`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${API_KEY}`
},
body: JSON.stringify(requestBody)
});
if (!response.ok) {
throw new Error(`API Error: ${response.status} ${response.statusText}`);
}
const data = await response.json();
removeTypingIndicator(typingIndicator);
if (data.choices && data.choices.length > 0) {
const assistantReply = data.choices[0].message.content;
addMessage('assistant', assistantReply, markdownToggle.checked);
} else {
addMessage('assistant', 'No response generated.', false);
}
} catch (error) {
console.error('Error:', error);
if (typingIndicator) {
removeTypingIndicator(typingIndicator);
}
addMessage('assistant', `Error: ${error.message}`, false);
} finally {
sendBtn.disabled = false;
userInput.focus();
}
}
function stopStream() {
if (currentStreamController) {
currentStreamController.abort();
isStreaming = false;
currentStreamController = null;
sendBtn.disabled = false;
sendBtn.textContent = 'Send';
}
}
async function sendMessage() {
const userMessage = userInput.value.trim();
if (!userMessage || isStreaming) return;
// ✅ FIX: Validate backend selection
if (!currentBackendModel) {
addMessage('assistant', 'Please select a backend model first.', false);
return;
}
addMessage('user', userMessage, false);
userInput.value = '';
userInput.style.height = 'auto';
sendBtn.disabled = true;
if (streamToggle.checked) {
sendBtn.textContent = 'Stop';
await handleStreamingResponse(userMessage);
} else {
await handleNonStreamingResponse(userMessage);
}
sendBtn.textContent = 'Send';
}
sendBtn.addEventListener('click', () => {
if (isStreaming) {
stopStream();
} else {
sendMessage();
}
});
userInput.addEventListener('keydown', (e) => {
if (e.key === 'Enter' && !e.shiftKey) {
e.preventDefault();
if (!isStreaming) {
sendMessage();
}
}
});
// ✅ Updated window.onload with better initialization
window.onload = () => {
if (userInput) userInput.focus();
// Set default backend BEFORE fetching
if (!currentBackendModel) {
currentBackendModel = 'plato';
}
fetchBackendModels().then(() => {
// Load chat history after models are fetched
if (chatLog) {
if (chatHistory.length === 0) {
//addMessage('assistant', welcomeMessage, true, null, false);
} else {
chatHistory.forEach(msg => {
if (typeof msg.content === 'string' && msg.content.trim()) {
addMessage(msg.role, msg.content, msg.markdown, msg.messageId, false);
}
});
}
}
});
document.getElementById('resetBtn')?.addEventListener('click', resetChat);
};
function resetChat() {
chatHistory = [];
localStorage.setItem('chatHistory', JSON.stringify(chatHistory));
if (chatLog) {
chatLog.innerHTML = '';
addMessage('assistant', welcomeMessage, true, null, false);
}
}