PowerOn AI Plattform

// Zentrale AI Call Methode
await interfaceAiCalls.callAi(
    prompt="Analysiere das Dokument",
    documents=[document1, document2],
    options={
        "process_type": "text",
        "operation_type": "document_analysis",
        "priority": "quality",
        "compress_documents": true,
        "max_cost": 0.05
    }
)

// JavaScript/TypeScript Integration
const powerOnAPI = {
    baseURL: 'https://poweron-instance.com/api',
    headers: {
        'Authorization': 'Bearer YOUR_TOKEN',
        'Content-Type': 'application/json'
    }
};

// Workflow starten
async function startWorkflow(prompt, files = []) {
    const response = await fetch(`${powerOnAPI.baseURL}/workflows/start`, {
        method: 'POST',
        headers: powerOnAPI.headers,
        body: JSON.stringify({
            prompt: prompt,
            listFileId: files,
            userLanguage: 'de'
        })
    });
    return await response.json();
}

// Workflow Status abrufen
async function getWorkflowStatus(workflowId) {
    const response = await fetch(`${powerOnAPI.baseURL}/workflows/${workflowId}/status`, {
        headers: powerOnAPI.headers
    });
    return await response.json();
}

// Voice Integration Endpoints
POST /api/voice/process-audio
{
    "audioData": "base64_encoded_audio",
    "format": "wav|mp3|ogg",
    "language": "de|en|fr|it",
    "workflowId": "optional_workflow_id"
}

// Response
{
    "workflowId": "generated_workflow_id",
    "transcription": "Transkribierter Text",
    "intent": "workflow_command",
    "status": "processing|completed|error"
}

// Voice Response Generation
POST /api/voice/generate-response
{
    "text": "Zu sprechender Text",
    "voice": "de-DE|en-US|fr-FR",
    "format": "wav|mp3"
}

// Voice Command: "Schreibe eine Follow-up E-Mail für das Projekt Alpha"
{
    "prompt": "Schreibe eine Follow-up E-Mail für das Projekt Alpha",
    "documents": ["project_alpha_document.pdf"],
    "workflowType": "email_composition"
}

// PowerOn Workflow:
// 1. Lädt Projekt-Dokument
// 2. Neutralisiert sensible Daten
// 3. Analysiert mit Claude AI
// 4. Generiert professionelle E-Mail
// 5. Sendet via Outlook Integration
// 6. Bestätigt Versand per Voice Response

// Voice Command: "Fasse das Meeting von heute zusammen"
{
    "prompt": "Fasse das Meeting von heute zusammen",
    "documents": ["meeting_notes.docx", "presentation.pdf"],
    "workflowType": "meeting_summary"
}

// PowerOn Workflow:
// 1. Lädt Meeting-Materialien
// 2. Extrahiert relevante Informationen
// 3. Neutralisiert persönliche Daten
// 4. Generiert strukturierte Zusammenfassung
// 5. Erstellt Action Items
// 6. Speichert in SharePoint
// 7. Sendet an Teilnehmer

// Voice Command: "Analysiere alle Verträge im SharePoint"
{
    "prompt": "Analysiere alle Verträge im SharePoint",
    "connection": "sharepoint_connection",
    "workflowType": "document_analysis"
}

// PowerOn Workflow:
// 1. Verbindet zu SharePoint
// 2. Lädt alle Verträge (300+ Dateien)
// 3. Neutralisiert sensible Daten
// 4. Analysiert mit Multi-Model AI
// 5. Erstellt Vergleichsmatrix
// 6. Generiert Executive Summary
// 7. Speichert Ergebnisse

// JavaScript Voice Integration
class PowerOnVoiceAssistant {
    constructor(apiKey) {
        this.apiKey = apiKey;
        this.recognition = new webkitSpeechRecognition();
        this.setupVoiceRecognition();
    }
    
    setupVoiceRecognition() {
        this.recognition.continuous = true;
        this.recognition.interimResults = true;
        this.recognition.lang = 'de-DE';
        
        this.recognition.onresult = (event) => {
            const transcript = event.results[event.results.length - 1][0].transcript;
            this.processVoiceCommand(transcript);
        };
    }
    
    async processVoiceCommand(command) {
        try {
            const response = await fetch('/api/voice/process-audio', {
                method: 'POST',
                headers: {
                    'Authorization': `Bearer ${this.apiKey}`,
                    'Content-Type': 'application/json'
                },
                body: JSON.stringify({
                    audioData: command,
                    language: 'de',
                    format: 'text'
                })
            });
            
            const result = await response.json();
            this.speakResponse(result.response);
        } catch (error) {
            console.error('Voice processing error:', error);
        }
    }
    
    speakResponse(text) {
        const utterance = new SpeechSynthesisUtterance(text);
        utterance.lang = 'de-DE';
        speechSynthesis.speak(utterance);
    }
}