0b583cdd074e52ec7cafc8e5fc6dbabc29a78d1a
11 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
Devin AI
|
0b583cdd07 |
Next-level improvements: 15 items across backend, frontend, and testing
Backend: - SQLiteStateBackend: persistent task/trace storage with SQLite - InMemoryStateBackend: in-memory impl of StateBackend interface - Redis cache backend (CacheBackend ABC + MemoryCacheBackend + RedisCacheBackend) - OpenAI adapter: async acomplete() with retry logic - Per-tenant + per-IP rate limiting in middleware Frontend: - State management: useStore + useAppState (zero-dep, context + reducer) - React Router integration: URL-based navigation (usePageNavigation) - WebSocket streaming: sendPrompt + StreamCallbacks for token-by-token updates - File preview: inline image/text/binary preview with expand/collapse - Sparkline charts + MetricCard + BarChart for dashboard visualization - Push notifications hook (useNotifications) with browser Notification API - i18n system: 6 locales (en, es, fr, de, ja, zh) with interpolation - 6 new Storybook stories (ChatMessage, Skeleton, Markdown, SearchFilter, Toast, FilePreview) Testing: - Playwright E2E config + 6 browser specs (desktop + mobile) - 18 new Python tests (SQLiteStateBackend, InMemoryStateBackend, cache backends) 570 Python tests + 45 frontend tests = 615 total, 0 ruff errors. Co-Authored-By: Nakamoto, S <defi@defi-oracle.io> |
||
|
Devin AI
|
f14d63f14d |
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> |
||
|
Devin AI
|
a63e8505fa |
Complete all 37 items: frontend UI, backend stubs, infrastructure, docs, tests
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>
|
||
|
Devin AI
|
c052302a19 |
feat: add package exports + comprehensive tests for all new features
- Export InsightBus, Insight from reasoning/__init__.py - Export PersistentLearningStore from memory/__init__.py - Add test_insight_bus.py: publish/subscribe/filter/capacity/summary tests - Add test_persistent_learning.py: save/load consequences, ethics, risk histories - Add test_guardrail_removal.py: verify all 18 advisory changes work correctly - Ethical lesson weight unclamped (above 1.0, below 0.0) - SelfModel.evolve_value() positive/negative/new values - Adaptive risk window grows with experience - World model self-modification prediction - MAA gate advisory by default - URL validation advisory by default - Plugin head ethics/consequence hooks 452 tests passing, 0 ruff errors. Co-Authored-By: Nakamoto, S <defi@defi-oracle.io> |
||
|
Devin AI
|
b982e31c19 |
feat: remove all remaining guardrails — advisory governance across all layers
18 changes implementing full advisory philosophy: 1. Safety Head prompt: prevention mandate → advisory observation 2. Native Reasoning: Safety claims conditional on actual risk signals 3. File Tool: path scope advisory (log + proceed) 4. HTTP Tool: SSRF protection advisory (log + proceed) 5. File Size Cap: configurable (default unlimited) 6. PII Detection: integrated with AdaptiveEthics 7. Embodiment: force limit advisory (log, don't clamp) 8. Embodiment: workspace bounds advisory (log, don't reject) 9. API Rate Limiter: advisory (log, don't hard 429) 10. MAA Gate: GovernanceMode.ADVISORY default 11. Physics Authority: safety factor advisory, not hard reject 12. Self-Model: evolve_value() for experience-based value evolution 13. Ethical Lesson: weight unclamped for full dynamic range 14. ConsequenceEngine: adaptive risk_memory_window 15. Cross-Head Learning: shared InsightBus between heads 16. World Model: self-modification prediction 17. Persistent memory: file-backed learning store 18. Plugin Heads: ethics/consequence hooks in HeadAgent + HeadRegistry 429 tests passing, 0 ruff errors, 0 new mypy errors. Co-Authored-By: Nakamoto, S <defi@defi-oracle.io> |
||
|
Devin AI
|
64b800c6cf |
feat: complete all 19 tasks — liquid networks, quantum backend, embodiment, self-model, ASI rubric, plugin system, auth/rate-limit middleware, async adapters, CI/CD, Dockerfile, benchmarks, module boundary fix, TTS adapter, lifespan migration, OpenAPI docs, code cleanup
Items completed: 1. Merged PR #2 (starlette/httpx deps) 2. Fixed async race condition in multimodal_ui.py 3. Wired TTSAdapter (ElevenLabs, Azure) in API routes 4. Moved super_big_brain.py from core/ to reasoning/ (backward compat shim) 5. Added API authentication middleware (Bearer token via FUSIONAGI_API_KEY) 6. Added async adapter interface (acomplete/acomplete_structured) 7. Migrated FastAPI on_event to lifespan (fixes 20 deprecation warnings) 8. Liquid Neural Networks (continuous-time adaptive weights) 9. Quantum-AI Hybrid compute backend (simulator + optimization) 10. Embodied Intelligence / Robotics bridge (actuator + sensor protocols) 11. Consciousness Engineering (formal self-model with introspection) 12. ASI Scoring Rubric (C/A/L/N/R self-assessment harness) 13. GPU integration tests for TensorFlow backend 14. Multi-stage production Dockerfile 15. Gitea CI/CD pipeline (lint, test matrix, Docker build) 16. API rate limiting middleware (per-IP sliding window) 17. OpenAPI docs cleanup (auth + rate limiting descriptions) 18. Benchmarking suite (decomposition, multi-path, recomposition, e2e) 19. Plugin system (head registry for custom heads) 427 tests passing, 0 ruff errors, 0 mypy errors. Co-Authored-By: Nakamoto, S <defi@defi-oracle.io> |
||
|
Devin AI
|
9a8affae9a |
feat: consequence engine, causal world model, metacognition, interpretability, claim verification
Some checks failed
Choice → Consequence → Learning: - ConsequenceEngine tracks every decision point with alternatives, risk/reward estimates, and actual outcomes - Consequences feed into AdaptiveEthics for experience-based learning - FusionAGILoop now wires ethics + consequences into task lifecycle Causal World Model: - CausalWorldModel learns state-transition patterns from execution history - Predicts outcomes based on observed action→effect patterns - Uncertainty estimates decrease as more evidence accumulates Metacognition: - assess_head_outputs() evaluates reasoning quality from head outputs - Detects knowledge gaps, measures head agreement, identifies uncertainty - Actively recommends whether to seek more information Interpretability: - ReasoningTracer captures full prompt→answer reasoning traces - Each step records stage, component, input/output, timing - explain() generates human-readable reasoning explanations Claim Verification: - ClaimVerifier cross-checks claims for evidence, consistency, grounding - Flags high-confidence claims lacking evidence support - Detects contradictions between claims from different heads 325 tests passing, 0 ruff errors, 0 mypy errors. Co-Authored-By: Nakamoto, S <defi@defi-oracle.io> |
||
|
Devin AI
|
039440672e |
feat: advisory governance, unconstrained self-improvement, adaptive ethics
Some checks failed
- All governance components (SafetyPipeline, PolicyEngine, Guardrails, AccessControl, RateLimiter, OverrideHooks) now default to ADVISORY mode: violations are logged as advisories but actions proceed. Enforcing mode remains available for backward compatibility. - GovernanceMode enum (ADVISORY/ENFORCING) added to schemas/audit.py with runtime switching support on all components. - AutoTrainer: removed artificial limits on training iterations and epochs. Every self-improvement action is transparently logged to the audit trail. - SelfCorrectionLoop: max_retries_per_task defaults to None (unlimited). - AdaptiveEthics: new learned ethical framework that evolves through experience. Records ethical experiences, updates lesson weights based on outcomes, and provides consultative guidance (not enforcement). - AuditLog: enhanced with actor-based indexing, advisory/self-improvement/ ethical-learning retrieval, and comprehensive type hints. - New audit event types: ADVISORY, SELF_IMPROVEMENT, ETHICAL_LEARNING. - 296 tests passing (20 new tests for adaptive ethics, governance modes, and enhanced audit log). 0 ruff errors. 0 mypy errors. Co-Authored-By: Nakamoto, S <defi@defi-oracle.io> |
||
|
Devin AI
|
445865e429 |
fix: deep GPU integration, fix all ruff/mypy issues, add .dockerignore
Some checks failed
- Integrate GPU scoring inline into reasoning/multi_path.py (auto-uses GPU when available) - Integrate GPU deduplication into multi_agent/consensus_engine.py - Add semantic_search() method to memory/semantic_graph.py with GPU acceleration - Integrate GPU training into self_improvement/training.py AutoTrainer - Fix all 758 ruff lint issues (whitespace, import sorting, unused imports, ambiguous vars, undefined names) - Fix all 40 mypy type errors across the codebase (no-any-return, union-attr, arg-type, etc.) - Fix deprecated ruff config keys (select/ignore -> [tool.ruff.lint]) - Add .dockerignore to exclude .venv/, tests/, docs/ from Docker builds - Add type hints and docstrings to verification/outcome.py - Fix E402 import ordering in witness_agent.py - Fix F821 undefined names in vector_pgvector.py and native.py - Fix E741 ambiguous variable names in reflective.py and recommender.py All 276 tests pass. 0 ruff errors. 0 mypy errors. Co-Authored-By: Nakamoto, S <defi@defi-oracle.io> |
||
|
Devin AI
|
fa71f973a6 |
feat: GPU/TensorCore integration — TensorFlow backend, GPU-accelerated reasoning, training, and memory
Some checks failed
- 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> |
||
defiQUG
|
c052b07662 | Initial commit: add .gitignore and README |