🏛️

AI Conference Chamber

An Assembly of Digital Plenipotentiaries

Convene an executive session with up to 10 localized or cloud-hosted artificial intelligence models simultaneously. Align global directives via real-time stream architectures, hold bilateral private dialogs, and monitor collaborative outputs.

Conference Architecture Settings

Session Metadata Configuration
Delegate Matrix Allocation (Up to 10 Representatives)
0 Slots Allocated
External Voice Provider Override

Override baseline native session synthesis using an external low-latency streaming proxy pipeline link.

0 / 1,000,000 words allowed

AI Conference Chamber

0 Active Plenipotentiaries
Response Sequencing:

Chamber Plenary Discourse (Global Chamber Stream)

Shared Workspace — Whiteboard (Editor Mode)
Live Document Rendering Engine (Iframe Engine) Sync Active
// ==================== CORE PLATFORM STATE MATRIX ==================== const PLATFORM_STATE = { sessionName: '', masterPrompt: '', models: [], // ==================== CORE PLATFORM STATE MATRIX ==================== const PLATFORM_STATE = { sessionName: '', masterPrompt: '', models: [], activeModels: [], masterChatHistory: [], privateChatHistories: {}, responseSequencingMode: 'parallel', // 'parallel' or 'roundrobin' globalChamberMute: false, workspaceEditingMode: 'text', // 'text' or 'canvas' isDrawingOnCanvas: false, voiceDictationActive: false, speechRecognitionInstance: null, vocalQueue: [], isVocalQueueProcessing: false }; // Initialize Application State on Load window.addEventListener('DOMContentLoaded', () => { loadPersistedChamberState(); seedDefaultModelSlotConfig(); initializeDrawingCanvasEngine(); }); function loadPersistedChamberState() { try { const savedStateString = localStorage.getItem('ai_conference_super_state'); if (savedStateString) { const parsedState = JSON.parse(savedStateString); PLATFORM_STATE.models = parsedState.models || []; PLATFORM_STATE.masterPrompt = parsedState.masterPrompt || ''; PLATFORM_STATE.sessionName = parsedState.sessionName || ''; } } catch (error) { console.warn('Persisted state initialization fault metrics:', error); } const storedThemeMode = localStorage.getItem('ai_conference_theme_mode') || 'light'; document.body.setAttribute('data-theme', storedThemeMode); updateThemeToggleButtonIcons(storedThemeMode); } function persistActiveChamberState() { try { const stateSnapshot = { models: PLATFORM_STATE.models, masterPrompt: PLATFORM_STATE.masterPrompt, sessionName: PLATFORM_STATE.sessionName }; localStorage.setItem('ai_conference_super_state', JSON.stringify(stateSnapshot)); } catch (error) { console.warn('State backup replication structural fault:', error); } } function updateThemeToggleButtonIcons(mode) { document.querySelectorAll('.theme-toggle').forEach(btn => { btn.textContent = mode === 'light' ? '🌙' : '☀️'; }); } function toggleTheme() { const currentMode = document.body.getAttribute('data-theme') || 'light'; const nextMode = currentMode === 'light' ? 'dark' : 'light'; document.body.setAttribute('data-theme', nextMode); localStorage.setItem('ai_conference_theme_mode', nextMode); updateThemeToggleButtonIcons(nextMode); } function updateWordCount(textarea, counterId, wordLimit) { const registeredWords = textarea.value.trim().split(/\s+/).filter(Boolean).length; const counterElement = document.getElementById(counterId); if (counterElement) { counterElement.textContent = `${registeredWords.toLocaleString()} / ${wordLimit.toLocaleString()}`; if (registeredWords > wordLimit * 0.9) { counterElement.className = 'char-counter danger'; } else if (registeredWords > wordLimit * 0.75) { counterElement.className = 'char-counter warning'; } else { counterElement.className = 'char-counter'; } } } // ==================== GENERATIVE ENTRY GRID FORMS ==================== function seedDefaultModelSlotConfig() { if (PLATFORM_STATE.models.length === 0) { for (let i = 0; i < 1; i++) { addModelSlot(); } } else { renderSetupModelsMatrix(); } } function addModelSlot() { if (PLATFORM_STATE.models.length >= 10) return; const indexPointer = PLATFORM_STATE.models.length; PLATFORM_STATE.models.push({ type: '', // 'local' or 'api' name: `Delegate_${indexPointer + 1}`, provider: '', baseUrl: '', apiKey: '', prompt: '', temperature: 0.7, voiceOn: false, voice: 'none', avatar: null, fileName: null, estimatedTokenUsage: 0, isRouteOnline: false }); persistActiveChamberState(); renderSetupModelsMatrix(); } function updateModelConfigValue(index, field, value) { if (PLATFORM_STATE.models[index]) { PLATFORM_STATE.models[index][field] = value; persistActiveChamberState(); if (field === 'temperature') { const dynamicLabel = document.getElementById(`temp-value-${index}`); if (dynamicLabel) dynamicLabel.textContent = value; } } } // ==================== ASYNCHRONOUS COMPILATION CORE LAYER ==================== async function runModelStreamPipeline(modelIndex, initialPrompt, destinationContext) { const current // ==================== ASYNCHRONOUS COMPILATION CORE LAYER ==================== async function runModelStreamPipeline(modelIndex, initialPrompt, destinationContext) { const currentAgent = PLATFORM_STATE.models[modelIndex]; if (!currentAgent || currentAgent.type === '') return; const chamberUIBox = document.getElementById(`panel-box-${modelIndex}`); if (chamberUIBox) chamberUIBox.classList.add('thinking'); // Unique ID allocation for the typing text nodes const streamingTextElementId = `stream-text-${modelIndex}-${Date.now()}`; setupTargetLoggingNode(modelIndex, streamingTextElementId, destinationContext); try { let textPayloadBuffer = ""; if (currentAgent.type === 'local') { // Proxied connection routing block to a running local Ollama orchestration engine const localRuntimeUrl = "http://localhost:11434/api/generate"; const systemFramework = `${PLATFORM_STATE.masterPrompt}\n\n${currentAgent.prompt}`; const responseStream = await fetch(localRuntimeUrl, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ model: currentAgent.name, prompt: initialPrompt, system: systemFramework, options: { temperature: currentAgent.temperature }, stream: true }), signal: AbortSignal.timeout(45000) }); if (!responseStream.ok) throw new Error(`Ollama engine connection failure status: ${responseStream.status}`); const dataReader = responseStream.body.getReader(); const stringDecoder = new TextDecoder(); while (true) { const { value, done } = await dataReader.read(); if (done) break; const chunkLines = stringDecoder.decode(value).split('\n'); for (const line of chunkLines) { if (line.trim() === '') continue; const jsonChunk = JSON.parse(line); if (jsonChunk.response) { textPayloadBuffer += jsonChunk.response; flushStreamBufferToUI(modelIndex, streamingTextElementId, destinationContext, textPayloadBuffer); } } } } else { // Standard cloud multi-model gateway SSE chunk reader matrix let targetedEndpoint = currentAgent.baseUrl.replace(/\/+$/, ''); if (!targetedEndpoint.endsWith('/chat/completions')) { targetedEndpoint += '/chat/completions'; } const messageMatrix = [ { role: 'system', content: `${PLATFORM_STATE.masterPrompt}\n\n${currentAgent.prompt}` }, { role: 'user', content: initialPrompt } ]; const responseStream = await fetch(targetedEndpoint, { method: 'POST', headers: { 'Content-Type': 'application/json', 'Authorization': `Bearer ${currentAgent.apiKey}` }, body: JSON.stringify({ model: currentAgent.name, messages: messageMatrix, temperature: currentAgent.temperature, stream: true }), signal: AbortSignal.timeout(45000) }); if (!responseStream.ok) throw new Error(`Gateway authorization route error: ${responseStream.status}`); const dataReader = responseStream.body.getReader(); const stringDecoder = new TextDecoder(); while (true) { const { value, done } = await dataReader.read(); if (done) break; const decodedChunks = stringDecoder.decode(value).split('\n'); for (const chunk of decodedChunks) { if (!chunk.startsWith('data: ')) continue; const structuralDataString = chunk.replace(/^data: /, '').trim(); if (structuralDataString === '[DONE]') break; try { const parsedJSON = JSON.parse(structuralDataString); const singleDeltaWord = parsedJSON.choices?.[0]?.delta?.content || ""; textPayloadBuffer += singleDeltaWord; flushStreamBufferToUI(modelIndex, streamingTextElementId, destinationContext, textPayloadBuffer); } catch (e) { // Silent bypass of fragmented data chunks } } } } // Push completed string into global history array matrices finalizeLoggedChatPayload(modelIndex, destinationContext, textPayloadBuffer); checkWorkspaceCodeDirectives(textPayloadBuffer); } catch (networkFaultException) { console.error("Stream tracking loop interface exception:", networkFaultException); flushStreamBufferToUI(modelIndex, streamingTextElementId, destinationContext, `[Link Verification Fault: ${networkFaultException.message}]`); } finally { if (chamberUIBox) chamberUIBox.classList.remove('thinking'); } } // ==================== VOICE & INTERACTIVE WHITEBOARD MATRIX ==================== // ==================== VOICE & INTERACTIVE WHITEBOARD MATRIX ==================== function toggleDictationStream(inputId, buttonElement) { if (!('webkitSpeechRecognition' in window || 'SpeechRecognition' in window)) { alert("Speech recognition metrics unsupported on current client build."); return; } if (PLATFORM_STATE.voiceDictationActive) { if (PLATFORM_STATE.speechRecognitionInstance) { PLATFORM_STATE.speechRecognitionInstance.stop(); } return; } const SpeechRecognitionEngine = window.SpeechRecognition || window.webkitSpeechRecognition; PLATFORM_STATE.speechRecognitionInstance = new SpeechRecognitionEngine(); PLATFORM_STATE.speechRecognitionInstance.continuous = false; PLATFORM_STATE.speechRecognitionInstance.interimResults = false; PLATFORM_STATE.speechRecognitionInstance.lang = 'en-US'; PLATFORM_STATE.speechRecognitionInstance.onstart = () => { PLATFORM_STATE.voiceDictationActive = true; buttonElement.classList.add('recording'); }; PLATFORM_STATE.speechRecognitionInstance.onresult = (event) => { const capturedTextResult = event.results[0][0].transcript; const targetTextInput = document.getElementById(inputId); if (targetTextInput) { targetTextInput.value += (targetTextInput.value ? ' ' : '') + capturedTextResult; } }; PLATFORM_STATE.speechRecognitionInstance.onend = () => { PLATFORM_STATE.voiceDictationActive = false; buttonElement.classList.remove('recording'); }; PLATFORM_STATE.speechRecognitionInstance.onerror = () => { PLATFORM_STATE.voiceDictationActive = false; buttonElement.classList.remove('recording'); }; PLATFORM_STATE.speechRecognitionInstance.start(); } function speakTextAloudPipeline(text, voiceIdentifier) { if (voiceIdentifier === 'none' || !('speechSynthesis' in window)) return; // Direct routing queue array construction for Round Robin sequencing vocal clips const speechUtterance = new SpeechSynthesisUtterance(text); const crossBrowserVoices = window.speechSynthesis.getVoices(); if (voiceIdentifier === 'Premium Male') { speechUtterance.voice = crossBrowserVoices.find(v => v.name.includes('Male') || v.name.includes('David')) || crossBrowserVoices[0]; } else if (voiceIdentifier === 'Premium Female') { speechUtterance.voice = crossBrowserVoices.find(v => v.name.includes('Female') || v.name.includes('Zira') || v.name.includes('Google US English')) || crossBrowserVoices[0]; } speechUtterance.rate = 1.0; speechUtterance.pitch = 1.0; if (PLATFORM_STATE.responseSequencingMode === 'roundrobin') { PLATFORM_STATE.vocalQueue.push(speechUtterance); processNextVocalQueueItem(); } else { window.speechSynthesis.speak(speechUtterance); } } function processNextVocalQueueItem() { if (PLATFORM_STATE.isVocalQueueProcessing || PLATFORM_STATE.vocalQueue.length === 0) return; PLATFORM_STATE.isVocalQueueProcessing = true; const activeUtterance = PLATFORM_STATE.vocalQueue.shift(); activeUtterance.onend = () => { PLATFORM_STATE.isVocalQueueProcessing = false; processNextVocalQueueItem(); }; activeUtterance.onerror = () => { PLATFORM_STATE.isVocalQueueProcessing = false; processNextVocalQueueItem(); }; window.speechSynthesis.speak(activeUtterance); } function toggleGlobalMuteState() { PLATFORM_STATE.globalChamberMute = !PLATFORM_STATE.globalChamberMute; const buttonElement = document.getElementById('mute-all-btn'); if (buttonElement) { buttonElement.textContent = PLATFORM_STATE.globalChamberMute ? "🔇 Unmute Chamber" : "🔊 Mute Chamber"; } if (PLATFORM_STATE.globalChamberMute && 'speechSynthesis' in window) { window.speechSynthesis.cancel(); PLATFORM_STATE.vocalQueue = []; PLATFORM_STATE.isVocalQueueProcessing = false; } } // ==================== WORKSPACE VECTOR SYSTEMS ==================== function setWorkspaceActiveMode(mode) { PLATFORM_STATE.workspaceEditingMode = mode; const codeEditorBlock = document.getElementById('whiteboard-text'); const drawingCanvasBlock = document.getElementById('whiteboard-canvas'); const titleLabel = document.getElementById('wb-title-label'); if (mode === 'text') { codeEditorBlock.style.display = 'block'; drawingCanvasBlock.style.display = 'none'; titleLabel.textContent = "Shared Workspace — Whiteboard (Editor Mode)"; } else { codeEditorBlock.style.display = 'none'; drawingCanvasBlock.style.display = 'block'; titleLabel.textContent = "Shared Workspace — Whiteboard (Canvas Mode)"; syncCanvasDimensionsToParent(); } } function handleWorkspaceScriptInput() { const rawSourceScriptCode = document.getElementById('whiteboard-text').value; const executionPreviewFrame = document.getElementById('preview-frame'); const sandboxContext = executionPreviewFrame.contentDocument || executionPreviewFrame.contentWindow.document; sandboxContext.open(); sandboxContext.write(rawSourceScriptCode || `
Workspace staging preview engine online...
`); sandboxContext.close(); } function initializeDrawingCanvasEngine() { const canvasElement = document.getElementById('whiteboard-canvas'); const graphicContext = canvasElement.getContext('2d'); canvasElement.addEventListener('mousedown', () => PLATFORM_STATE.isDrawingOnCanvas = true); canvasElement.addEventListener('mouseup', () => { PLATFORM_STATE.isDrawingOnCanvas = false; graphicContext.beginPath(); }); canvasElement.addEventListener('mousemove', (event) => { if (!PLATFORM_STATE.isDrawingOnCanvas) return; const boundaryRect = canvasElement.getBoundingClientRect(); graphicContext.lineWidth = 3; graphicContext.lineCap = 'round'; graphicContext.strokeStyle = PLATFORM_STATE.theme === 'light' ? '#c4a265' : '#dcc08a'; graphicContext.lineTo(event.clientX - boundaryRect.left, event.clientY - boundaryRect.top); graphicContext.stroke(); graphicContext.beginPath(); graphicContext.moveTo(event.clientX - boundaryRect.left, event.clientY - boundaryRect.top); }); } function syncCanvasDimensionsToParent() { const canvasElement = document.getElementById('whiteboard-canvas'); const parentContainerBox = canvasElement.parentElement; canvasElement.width = parentContainerBox.clientWidth; canvasElement.height = parentContainerBox.clientHeight || 240; } function clearWorkspaceArea() { if (PLATFORM_STATE.workspaceEditingMode === 'text') { document.getElementById('whiteboard-text').value = ''; handleWorkspaceScriptInput(); } else { const canvasElement = document.getElementById('whiteboard-canvas'); const graphicContext = canvasElement.getContext('2d'); graphicContext.clearRect(0, 0, canvasElement.width, canvasElement.height); } } function checkWorkspaceCodeDirectives(incomingTextStream) { // Regex engine intercepting markdown structural code block updates const scriptExtractionRegex = /```html\s*([\s\S]*?)\s*```/i; const searchMatches = incomingTextStream.match(scriptExtractionRegex); if (searchMatches && searchMatches[1]) { const codeTextBox = document.getElementById('whiteboard-text'); if (codeTextBox) { codeTextBox.value = searchMatches[1]; handleWorkspaceScriptInput(); } } } // ==================== TRANSLATION EXPORT SYSTEM ==================== function openExportModal() { document.getElementById('export-modal').classList.add('active'); } function closeExportModal() { document.getElementById('export-modal').classList.remove('active'); } function executeDataExport() { const documentFormatExtension = document.getElementById('export-format').value; let structuredOutputManifest = `# Session Log Report: ${PLATFORM_STATE.sessionName || 'Sovereign Roundtable'}\n\n`; structuredOutputManifest += `## Master Operating Prompt Configuration\n${PLATFORM_STATE.masterPrompt || 'None Specified'}\n\n`; structuredOutputManifest += `## Plenary Assembly Log Transcripts\n`; PLATFORM_STATE.masterChatHistory.forEach(logNode => { structuredOutputManifest += `**${logNode.sender}**: ${logNode.content}\n\n`; }); const textDocumentBlob = new Blob([structuredOutputManifest], { type: 'text/plain;charset=utf-8' }); const downloadAnchorLink = document.createElement('a'); downloadAnchorLink.href = URL.createObjectURL(textDocumentBlob); downloadAnchorLink.download = `Chamber_Transcript_Manifest.${documentFormatExtension}`; downloadAnchorLink.click(); closeExportModal(); }