Fix voice input for iOS Safari and prevent infinite loop
- Remove temperature parameter from GPT-5-mini activity extraction (not supported) - Add classification state to useVoiceInput hook to avoid duplicate API calls - Prevent infinite loop in VoiceFloatingButton by tracking lastClassifiedTranscript - Use classification from backend directly instead of making second request - iOS Safari now successfully transcribes with Azure Whisper and classifies with GPT-5-mini 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
@@ -30,16 +30,52 @@ export async function POST(request: NextRequest) {
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);
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}
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} else if (contentType.includes('multipart/form-data')) {
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// Audio file upload (needs transcription)
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// TODO: Implement Whisper API integration for audio transcription
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// For now, return not implemented
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// Audio file upload - forward to backend for Whisper transcription
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const formData = await request.formData();
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const audioFile = formData.get('audio');
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if (!audioFile) {
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return NextResponse.json(
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{
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error: 'VOICE_NO_AUDIO',
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message: 'No audio file provided',
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},
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{ status: 400 }
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);
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}
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// Forward to backend
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const backendUrl = process.env.NEXT_PUBLIC_API_URL || 'http://localhost:3020';
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const backendFormData = new FormData();
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backendFormData.append('audio', audioFile);
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const backendResponse = await fetch(`${backendUrl}/api/v1/voice/transcribe`, {
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method: 'POST',
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body: backendFormData,
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headers: {
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// Forward auth token if present
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...(request.headers.get('authorization') && {
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authorization: request.headers.get('authorization')!,
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}),
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},
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});
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if (!backendResponse.ok) {
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const errorData = await backendResponse.json();
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return NextResponse.json(errorData, { status: backendResponse.status });
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}
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const result = await backendResponse.json();
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// Backend returns { success, transcript, classification }
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// Return in the format expected by the frontend
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return NextResponse.json(
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{
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error: 'VOICE_AUDIO_NOT_IMPLEMENTED',
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message: 'Audio transcription not yet implemented. Use text input for now.',
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hint: 'Send JSON with { "text": "your voice command" }',
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success: true,
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transcript: result.transcript,
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classification: result.classification,
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},
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{ status: 501 }
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{ status: 200 }
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);
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} else {
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return NextResponse.json(
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@@ -33,6 +33,7 @@ export function VoiceFloatingButton() {
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const [open, setOpen] = useState(false);
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const [isProcessing, setIsProcessing] = useState(false);
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const [classificationResult, setClassificationResult] = useState<any>(null);
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const [lastClassifiedTranscript, setLastClassifiedTranscript] = useState<string>('');
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const [snackbar, setSnackbar] = useState<{
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open: boolean;
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message: string;
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@@ -43,15 +44,16 @@ export function VoiceFloatingButton() {
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severity: 'info',
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});
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const { isListening, isSupported, transcript, error, startListening, stopListening, reset } =
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const { isListening, isSupported, transcript, classification, error, startListening, stopListening, reset } =
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useVoiceInput();
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// Auto-classify when we get a final transcript
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// Auto-use classification from backend when transcription completes
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React.useEffect(() => {
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if (transcript && !isListening && !isProcessing && open) {
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classifyTranscript(transcript);
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if (classification && !isListening && !isProcessing && open) {
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setClassificationResult(classification);
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handleClassifiedIntent(classification);
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}
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}, [transcript, isListening, isProcessing, open]);
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}, [classification, isListening, isProcessing, open]);
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const handleOpen = () => {
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if (!isSupported) {
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@@ -65,6 +67,7 @@ export function VoiceFloatingButton() {
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setOpen(true);
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reset();
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setClassificationResult(null);
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setLastClassifiedTranscript('');
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};
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const handleClose = () => {
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@@ -74,11 +77,13 @@ export function VoiceFloatingButton() {
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setOpen(false);
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reset();
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setClassificationResult(null);
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setLastClassifiedTranscript('');
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};
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const handleStartListening = () => {
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reset();
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setClassificationResult(null);
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setLastClassifiedTranscript('');
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startListening();
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};
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@@ -87,6 +92,8 @@ export function VoiceFloatingButton() {
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};
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const classifyTranscript = async (text: string) => {
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// Mark this transcript as being classified to prevent duplicate calls
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setLastClassifiedTranscript(text);
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setIsProcessing(true);
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try {
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const response = await fetch('/api/voice/transcribe', {
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@@ -1,4 +1,5 @@
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import { useState, useEffect, useCallback, useRef } from 'react';
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import { tokenStorage } from '@/lib/utils/tokenStorage';
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export interface VoiceInputResult {
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transcript: string;
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@@ -10,6 +11,7 @@ export interface VoiceInputState {
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isListening: boolean;
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isSupported: boolean;
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transcript: string;
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classification: any | null;
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error: string | null;
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usesFallback: boolean;
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}
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@@ -25,6 +27,7 @@ export function useVoiceInput() {
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isListening: false,
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isSupported: false,
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transcript: '',
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classification: null,
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error: null,
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usesFallback: false,
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});
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@@ -148,9 +151,19 @@ export function useVoiceInput() {
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formData.append('audio', audioBlob, `recording.${extension}`);
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console.log('[Voice] Sending to backend for transcription...');
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const response = await fetch('/api/voice/transcribe', {
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// Get auth token and API base URL
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const token = tokenStorage.getAccessToken();
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const API_BASE_URL = process.env.NEXT_PUBLIC_API_URL || 'http://localhost:3020';
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const headers: HeadersInit = {};
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if (token) {
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headers['Authorization'] = `Bearer ${token}`;
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}
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const response = await fetch(`${API_BASE_URL}/api/v1/voice/transcribe`, {
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method: 'POST',
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body: formData,
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headers,
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});
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console.log('[Voice] Transcription response status:', response.status);
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@@ -162,6 +175,7 @@ export function useVoiceInput() {
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...prev,
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isListening: false,
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transcript: data.transcript,
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classification: data.classification || null,
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}));
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} else {
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console.error('[Voice] Transcription failed:', data);
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@@ -169,6 +183,7 @@ export function useVoiceInput() {
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...prev,
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isListening: false,
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error: data.message || 'Failed to transcribe audio',
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classification: null,
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}));
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}
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} catch (error) {
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@@ -358,6 +373,7 @@ export function useVoiceInput() {
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setState(prev => ({
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...prev,
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transcript: '',
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classification: null,
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error: null,
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}));
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}, []);
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