5 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>	2026-05-02 03:17:14 +00:00
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>	2026-04-28 08:32:05 +00:00
Devin AI	445865e429	fix: deep GPU integration, fix all ruff/mypy issues, add .dockerignore ... - 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>	2026-04-28 05:48:37 +00:00
Devin AI	fa71f973a6	feat: GPU/TensorCore integration — TensorFlow backend, GPU-accelerated reasoning, training, and memory ... - 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	2026-02-09 21:51:42 -08:00