Commit Graph

4 Commits

Author SHA1 Message Date
Devin AI
f14d63f14d Full optimization: 38 improvements across frontend, backend, infrastructure, and docs
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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>
2026-05-02 03:08:08 +00:00
Devin AI
a63e8505fa Complete all 37 items: frontend UI, backend stubs, infrastructure, docs, tests
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Frontend (items 1-10):
- WebSocket streaming integration with useWebSocket hook
- Admin Dashboard UI (status, voices, agents, governance tabs)
- Voice playback UI (TTS/STT integration)
- Settings/Preferences page (conversation style, sliders)
- Responsive/mobile layout (breakpoints at 480px, 768px)
- Dark/light theme with CSS variables and localStorage
- Error handling & loading states (retry, empty state, disabled input)
- Authentication UI (login page, Bearer token, logout)
- Head visualization improvements (active/speaking states, animations)
- Consequence/Ethics dashboard (lessons, consequences, insights tabs)

Backend stubs (items 11-21):
- Tool connectors: DocsConnector (text/md/PDF), DBConnector (SQLite/Postgres), CodeRunnerConnector (Python/JS/Bash/Ruby sandboxed)
- STT adapter: WhisperSTTAdapter, AzureSTTAdapter
- Multi-modal interface adapters: Visual, Haptic, Gesture, Biometric
- SSE streaming endpoint (/v1/sessions/{id}/stream/sse)
- Multi-tenant support (X-Tenant-ID header, tenant CRUD)
- Plugin marketplace/registry (register, install, list)
- Backup/restore endpoints
- Versioned API negotiation (Accept-Version header, deprecation)

Infrastructure (items 22-26):
- docker-compose.yml (API + Postgres + Redis + frontend)
- .env.example with all configurable vars
- gunicorn.conf.py production ASGI config
- Prometheus metrics collector and /metrics endpoint
- Structured JSON logging configuration

Documentation (items 27-29):
- Architecture docs with module layout and subsystem descriptions
- Quickstart guide with setup, API tour, and test instructions

Tests (items 30-32):
- Integration tests: 25 end-to-end API tests
- Frontend tests: 10 Vitest tests for hooks (useTheme, useAuth)
- Load/performance tests: latency and throughput benchmarks
- Connector tests: 16 tests for Docs, DB, CodeRunner
- Multi-modal adapter tests: 9 tests
- Metrics collector tests: 5 tests
- STT adapter tests: 2 tests

511 Python tests passing, 10 frontend tests passing, 0 ruff errors.

Co-Authored-By: Nakamoto, S <defi@defi-oracle.io>
2026-04-28 11:34:21 +00:00
Devin AI
fa71f973a6 feat: GPU/TensorCore integration — TensorFlow backend, GPU-accelerated reasoning, training, and memory
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- New fusionagi/gpu/ module with TensorBackend protocol abstraction
  - TensorFlowBackend: GPU-accelerated ops with TensorCore mixed-precision
  - NumPyBackend: CPU fallback (always available, no extra deps)
  - Auto-selects best available backend at runtime

- GPU-accelerated operations:
  - Cosine similarity matrix (batched, XLA-compiled)
  - Multi-head attention for consensus scoring
  - Batch hypothesis scoring on GPU
  - Semantic similarity search (pairwise, nearest-neighbor, deduplication)

- New TensorFlowAdapter (fusionagi/adapters/):
  - LLMAdapter for local TF/Keras model inference
  - TensorCore mixed-precision support
  - GPU-accelerated embedding synthesis fallback

- Reasoning pipeline integration:
  - gpu_scoring.py: drop-in GPU replacement for multi_path scoring
  - Super Big Brain: use_gpu config flag, GPU scoring when available

- Memory integration:
  - gpu_search.py: GPU-accelerated semantic search for SemanticGraphMemory

- Self-improvement integration:
  - gpu_training.py: gradient-based heuristic weight optimization
  - Reflective memory training loop with loss tracking

- Dependencies: gpu extra (tensorflow>=2.16, numpy>=1.26)
- 64 new tests (276 total), all passing
- Architecture spec: docs/gpu_tensorcore_integration.md

Co-Authored-By: Nakamoto, S <defi@defi-oracle.io>
2026-04-28 05:05:50 +00:00
defiQUG
c052b07662 Initial commit: add .gitignore and README
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2026-02-09 21:51:42 -08:00