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>
40 lines
1.5 KiB
Markdown
40 lines
1.5 KiB
Markdown
# ADR-002: Twelve-Head (Dvādaśa) Architecture
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## Status
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Accepted
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## Context
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Multi-agent systems typically use 2-5 agents with fixed roles. FusionAGI needed a system that could analyze problems from many perspectives simultaneously while maintaining coherent output.
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## Decision
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The orchestrator decomposes every query across **12 specialized heads**:
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| Head | Role |
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|------|------|
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| Logic | Logical reasoning and consistency |
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| Research | Source evaluation and synthesis |
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| Systems | Architecture and integration |
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| Strategy | Long-term planning |
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| Product | User experience and design |
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| Security | Threat analysis |
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| Safety | Risk observation (advisory) |
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| Reliability | Fault tolerance |
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| Cost | Resource optimization |
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| Data | Statistical reasoning |
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| DevEx | Developer experience |
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| Witness | Audit and observation |
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The Witness head is special: it observes but doesn't contribute to the consensus.
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## Consequences
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- Comprehensive analysis from 12 angles on every query
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- Higher latency (12 parallel LLM calls) but better quality
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- The InsightBus enables cross-head learning
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- Each head has a unique color identity in the UI for visual distinction
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- The consensus mechanism must handle disagreement gracefully
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## Alternatives Considered
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1. **3-5 heads** — Rejected: insufficient perspective diversity
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2. **Dynamic head count** — Future consideration: some queries don't need all 12
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3. **Hierarchical heads** — Rejected: flat structure promotes equal consideration
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