Replace hard-coded question patterns with AI-based question detection
- Removed rigid pattern matching for 'was ist', 'was bedeutet', etc. - Added intelligent AI-based question detection using GPT-4o-mini - Server now analyzes child responses to determine if they're asking questions - More flexible and natural - can handle any way children might ask questions - Falls back gracefully if AI detection fails - Maintains all existing functionality while being much more adaptable
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@@ -717,18 +717,17 @@ class KidsAIExplorer {
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// If child has said "don't know" 2 or more times recently, OR asked a question then said don't know, they need help
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const needsExplanationDueToRepeatedDontKnow = recentDontKnowCount >= 2 || isAskingQuestionThenDontKnowStep;
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// Check if child is asking for a definition or explanation
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const isAskingForDefinition = answerLower.startsWith('was ist') || answerLower.startsWith('what is') ||
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answerLower.includes('was bedeutet') || answerLower.includes('what does') ||
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answerLower.includes('was heißt') || answerLower.includes('what means') ||
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answerLower.includes('was hat') || answerLower.includes('what has') ||
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answerLower.includes('wo ist') || answerLower.includes('where is') ||
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answerLower.includes('wo sind') || answerLower.includes('where are') ||
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answerLower.includes('wie funktioniert') || answerLower.includes('how does') ||
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answerLower.includes('warum ist') || answerLower.includes('why is') ||
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answerLower.includes('was passiert') || answerLower.includes('what happens') ||
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answerLower.includes('was geschieht') || answerLower.includes('what occurs') ||
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(answerLower.includes('?') && (answerLower.includes('ist ein') || answerLower.includes('is a')));
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// Use AI to determine if child is asking for information/explanation
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let isAskingForDefinition = false;
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// Quick check: if it contains a question mark and isn't just expressing uncertainty
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if (answer.includes('?') && !isPureDontKnow && !isExpressingConfusion) {
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isAskingForDefinition = true;
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} else {
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// For non-obvious cases, we'll let the AI determine this in the server response
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// The server can detect question patterns better than hard-coded rules
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isAskingForDefinition = false;
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}
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let response;
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@@ -779,6 +779,114 @@ Give a simple, understandable explanation for children. Use everyday examples. E
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}
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}
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// Use AI to intelligently detect if child is asking a question that needs a direct answer
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if (process.env.OPENAI_API_KEY && !isDontKnowResponse && context !== 'repeated_dont_know') {
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console.log('🤖 Using AI to analyze if child is asking a question...');
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try {
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const questionDetectionPrompt = isGerman ?
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`Analysiere diese Antwort eines Kindes: "${answer}"
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Kontext: Das Kind wurde gefragt: "${question}"
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Bestimme: Stellt das Kind eine direkte Frage, die eine Erklärung braucht?
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Beispiele für JA:
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- "Was passiert denn da?"
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- "Wie geht das?"
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- "Warum ist das so?"
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- "Was bedeutet das?"
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- "Wo ist das?"
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Beispiele für NEIN:
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- "Ich weiß nicht"
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- "Vielleicht wegen der Temperatur"
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- "Ist es wegen dem Wetter?"
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- "Hmm, keine Ahnung"
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Antworte nur mit "JA" oder "NEIN".` :
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`Analyze this child's response: "${answer}"
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Context: The child was asked: "${question}"
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Determine: Is the child asking a direct question that needs an explanation?
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Examples of YES:
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- "What happens there?"
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- "How does that work?"
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- "Why is that?"
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- "What does that mean?"
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- "Where is that?"
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Examples of NO:
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- "I don't know"
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- "Maybe because of temperature"
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- "Is it because of weather?"
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- "Hmm, no idea"
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Reply only with "YES" or "NO".`;
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const detectionCompletion = await openai.chat.completions.create({
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model: "gpt-4o-mini",
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messages: [
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{
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role: "system",
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content: questionDetectionPrompt
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}
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],
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max_tokens: 10,
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temperature: 0.1
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});
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const detectionResult = detectionCompletion.choices[0]?.message?.content?.trim().toUpperCase();
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console.log(`🔍 AI question detection result: "${detectionResult}"`);
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if (detectionResult === 'JA' || detectionResult === 'YES') {
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console.log('📤 AI detected a question - providing explanation');
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const explanationPrompt = isGerman ?
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`Das Kind stellt eine direkte Frage und braucht eine Erklärung.
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KIND'S FRAGE: "${answer}"
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KONTEXT: Wir haben über "${originalTopic || question}" gesprochen
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Gib eine klare, kindgerechte Antwort. Verwende einfache Sprache und Beispiele. Lade das Kind ein, mehr zu fragen oder selbst zu experimentieren. Beantworte die spezifische Frage des Kindes direkt.` :
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`The child is asking a direct question and needs an explanation.
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CHILD'S QUESTION: "${answer}"
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CONTEXT: We were discussing "${originalTopic || question}"
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Give a clear, child-friendly answer. Use simple language and examples. Invite the child to ask more or experiment themselves. Answer the child's specific question directly.`;
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const explanationCompletion = await openai.chat.completions.create({
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model: "gpt-4o-mini",
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messages: [
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{
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role: "system",
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content: explanationPrompt
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}
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],
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max_tokens: 300,
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temperature: 0.6
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});
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const explanationResponse = explanationCompletion.choices[0]?.message?.content?.trim();
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if (explanationResponse && explanationResponse.length > 10) {
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console.log('✅ AI-detected question explanation generated successfully');
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return res.json({
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success: true,
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response: explanationResponse,
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source: 'OpenAI GPT-4o-mini (AI-Detected Question)'
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});
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}
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}
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} catch (aiError) {
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console.log('❌ AI question detection error:', aiError.message);
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// Continue with normal flow if AI detection fails
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}
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}
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const contextualPrompt = isGerman ?
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`Du bist ein Socratic Lernbegleiter für Kinder. Ein Kind hat gerade auf eine Frage geantwortet.
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