Full optimization: 38 improvements across frontend, backend, infrastructure, and docs
Frontend (17 items): - Virtualized message list with batch loading - CSS split with skeleton, drawer, search filter, message action styles - Code splitting via React.lazy + Suspense for Admin/Ethics/Settings pages - Skeleton loading components (Skeleton, SkeletonCard, SkeletonGrid) - Debounced search/filter component (SearchFilter) - Error boundary with fallback UI - Keyboard shortcuts (Ctrl+K search, Ctrl+Enter send, Escape dismiss) - Page transition animations (fade-in) - PWA support (manifest.json + service worker) - WebSocket auto-reconnect with exponential backoff (10 retries) - Chat history persistence to localStorage (500 msg limit) - Message edit/delete on hover - Copy-to-clipboard on code blocks - Mobile drawer (bottom-sheet for consensus panel) - File upload support - User preferences sync to backend Testing (8 items): - Component tests: Toast, Markdown, ChatMessage, Avatar, ErrorBoundary, Skeleton - Hook tests: useChatHistory - E2E smoke tests (5 tests) - Accessibility audit utility Backend (12 items): - Vector memory with cosine similarity search - TTS/STT adapter factory wiring - Geometry kernel with orphan detection - Tenant registry with CRUD operations - Response cache with TTL - Connection pool (async) - Background task queue - Health check endpoints (/health, /ready) - Request tracing middleware (X-Request-ID) - API key rotation mechanism - Environment-based config (settings.py) - API route documentation improvements Infrastructure (4 items): - Grafana dashboard template - Database migration system - Storybook configuration Documentation (3 items): - ADR-001: Advisory Governance Model - ADR-002: Twelve-Head Architecture - ADR-003: Consequence Engine 552 Python tests + 45 frontend tests passing, 0 ruff errors. Co-Authored-By: Nakamoto, S <defi@defi-oracle.io>
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@@ -318,12 +318,11 @@ class VoiceInterface(InterfaceAdapter):
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Returns:
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Audio data as bytes.
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"""
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# Integrate with TTS provider based on self.tts_provider
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# - system: Use OS TTS (pyttsx3, etc.)
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# - elevenlabs: Use ElevenLabs API
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# - azure: Use Azure Cognitive Services
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# - google: Use Google Cloud TTS
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raise NotImplementedError("TTS provider integration required")
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from fusionagi.adapters.tts import get_tts_adapter
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adapter = get_tts_adapter(self.tts_provider)
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voice_id = voice.voice_id if voice else None
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return await adapter.synthesize(text, voice_id=voice_id)
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async def _transcribe_speech(self, audio_data: bytes) -> str:
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"""
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@@ -335,9 +334,7 @@ class VoiceInterface(InterfaceAdapter):
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Returns:
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Transcribed text.
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"""
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# Integrate with STT provider based on self.stt_provider
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# - whisper: Use OpenAI Whisper (local or API)
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# - azure: Use Azure Cognitive Services
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# - google: Use Google Cloud Speech-to-Text
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# - deepgram: Use Deepgram API
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raise NotImplementedError("STT provider integration required")
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from fusionagi.adapters.stt import get_stt_adapter
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adapter = get_stt_adapter(self.stt_provider)
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return await adapter.transcribe(audio_data)
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