Devin AI
08b5ea7c9a
UX/UI improvements: accessibility, polish, and responsiveness (10 items)
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1. WCAG AA contrast fixes - --text-muted increased to #8b8b95 for 4.5:1+ ratio
2. ARIA roles - tabs, avatars, status cards, live regions, alerts across all pages
3. Unique head colors - 12 distinct colors per head via data-head CSS selectors
4. Toast notification system - ToastProvider with success/error/info/warning types
5. Structured per-head response cards - colored dot indicators, head summaries
6. Status visualization - colored status dots (healthy/degraded/offline) with glow
7. Collapsible avatar grid - toggle button on mobile, persists collapsed state
8. System color scheme detection - prefers-color-scheme media query + JS fallback
9. Markdown rendering - lightweight parser for code, lists, headings, links, bold/italic
10. Mobile touch targets - 44px minimum on all interactive elements per WCAG AAA
Co-Authored-By: Nakamoto, S <defi@defi-oracle.io >
2026-05-02 02:47:30 +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
450d0f32e0
Merge pull request 'feat: Package exports + comprehensive tests for all new features' ( #5 ) from devin/1777369415-remaining-tasks into main
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2026-04-28 09:44:16 +00:00
Devin AI
c052302a19
feat: add package exports + comprehensive tests for all new features
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- 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 >
2026-04-28 09:43:47 +00:00
274715d54c
Merge pull request 'feat: Remove all remaining guardrails — advisory governance across all layers' ( #4 ) from devin/1777366257-remove-guardrails-phase2 into main
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2026-04-28 09:40:31 +00:00
cc10710558
Merge pull request 'feat: Complete all 19 tasks — ASI capabilities, production hardening, code fixes' ( #3 ) from devin/1777364360-complete-all-tasks into main
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2026-04-28 09:40:13 +00:00
Devin AI
b982e31c19
feat: remove all remaining guardrails — advisory governance across all layers
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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 >
2026-04-28 08:58:15 +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
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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
de97fd8ac9
Merge pull request 'fix: add starlette/httpx to dev deps, guard test_openai_compat imports' ( #2 ) from devin/1777359479-fix-openai-compat-tests into main
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2026-04-28 08:19:12 +00:00
Devin AI
59d57cb2fb
fix: add starlette/httpx to dev deps, guard test_openai_compat imports
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- Add starlette>=0.36 and httpx>=0.27 to dev dependencies so
test_openai_compat.py can run in dev environments
- Add pytest.importorskip guards for starlette and fastapi so the
test file is skipped gracefully when those packages are missing
- Fix import sorting (ruff I001)
340 tests now pass (was 325 with test_openai_compat skipped).
Co-Authored-By: Nakamoto, S <defi@defi-oracle.io >
2026-04-28 06:58:05 +00:00
99bbbccacb
Merge pull request 'feat: GPU/TensorCore integration — TensorFlow backend, accelerated reasoning, training & memory' ( #1 ) from devin/1777352172-gpu-tensorcore-integration into main
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2026-04-28 06:32:06 +00:00
Devin AI
9a8affae9a
feat: consequence engine, causal world model, metacognition, interpretability, claim verification
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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 >
2026-04-28 06:25:35 +00:00
Devin AI
039440672e
feat: advisory governance, unconstrained self-improvement, adaptive ethics
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- 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 >
2026-04-28 06:08:18 +00:00
Devin AI
445865e429
fix: deep GPU integration, fix all ruff/mypy issues, add .dockerignore
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- 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
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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
