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Trinity Canvas v2.3 Report: Mirror of Three Worlds

Agent: Harper (Agent 1) Date: 2026-02-13 Golden Chain: #51 Status: COMPLETE


Key Metrics​

Metricv2.2v2.3Delta
Lines of code12931468+13.5%
Features2734+25.9%
Layers99stable
Petals2727preserved
Type errors00clean
Build time3.3s1.45simproved
New: Live log entries020 (ring) / 50 (UI)NEW
New: Query path viznoneSymbolic->TVC->LLMNEW
New: Energy pipelinenone4-level cost displayNEW
New: Provider healthnoneGroq + Claude %'sNEW
New: Uptime displaynonerealtimeNEW
Poll interval5s2s2.5x faster
Improvement rate-2.283.7x above 0.618

What Changed (v2.2 -> v2.3)​

1. Tools Layer -> Mirror of Three Worlds (:]for] :] Mandraboutin)​

The Tools layer (Build/Test/Bench/Health buttons) is gone. Replaced by a functional three-column dashboard that shows real pipeline metrics and live logs.

Why: The old Tools layer had 4 buttons and showed cached mock data. Mirror shows what's actually happening inside the system in real-time.

2. Backend: Log Ring Buffer + Uptime​

src/tri/chat_server.zig now includes:

  • LogEntry struct: timestamp, source, query preview (64 chars), confidence, latency, learned flag
  • Ring buffer of 20 entries, overwriting oldest
  • startup_time field for uptime calculation
  • addLogEntry() called after every chat response
  • /health endpoint returns full JSON via ArrayList builder:
    • status, uptime_s, razum, materiya, dukh, logs[]

3. Frontend: Live Scrolling Logs Per Column​

Each column now has a dedicated LIVE LOG section at the bottom:

  • RAZUM: Shows symbolic pattern matches and memory hits only
  • MATERIYA: Shows TVC cache hits and learned entries (saved to corpus)
  • DUKH: Shows ALL query events with source icon, query preview, confidence, latency

Logs accumulate on frontend (up to 50 entries), deduplicated by timestamp. Auto-scroll to newest entry.

4. Query Path Visualization​

RAZUM column displays the 3-level cascade:

⚡ Symbolic → 💎 TVC → 🧠 LLM

Active step is highlighted (full opacity), inactive steps are dimmed. Shows "Last: {routing}" label based on last_routing field.

5. Energy Pipeline Display​

MATERIYA column shows the energy cost hierarchy:

LevelCost/Query
Symbolic0.1 mWh
TVC Cache1 mWh
Local LLM50 mWh
Cloud API100 mWh

6. Provider Health Display​

DUKH column shows Groq and Claude success rates as large percentage numbers with color coding:

  • Green (>80%), Yellow (>50%), Red (<50%)
  • Call count shown below each provider

7. Polling Changed to 2s​

Mirror polls /health every 2 seconds (was 5s in v2.2 prototype). Frontend accumulates logs by merging new entries (deduplication by timestamp).

8. Metric Highlighting​

All metrics now distinguish active values (colored) from zero/inactive values (dimmed). Grid layout (2 columns) for compact display.


Architecture​

Mirror of Three Worlds v2.3
├── Backend: chat_server.zig
│ ├── LogEntry struct (ts, source, query_preview[64], conf, lat, learned)
│ ├── Ring buffer: log_ring[20], log_count, log_index
│ ├── startup_time: i64 (for uptime)
│ ├── addLogEntry() — called after handleChat()
│ └── sendHealth() — ArrayList JSON builder
│ ├── status: "ok"
│ ├── uptime_s: seconds since start
│ ├── razum: \{symbolic_hits, hit_rate, memory, llm, routing\}
│ ├── materiya: \{tvc_enabled, corpus_size, hits, rates\}
│ ├── dukh: \{queries, energy, providers, context\}
│ └── logs: [\{ts, src, q, conf, lat, learned?\}, ...]
├── Frontend API: chatApi.ts
│ ├── MirrorLogEntry interface
│ ├── MirrorStatus (with uptime_s + logs[])
│ └── fetchMirrorStatus() — GET /health with 3s timeout
└── Frontend UI: TrinityCanvas.tsx (1468 lines)
├── State: mirrorStatus, mirrorLogs[], mirrorLogRef
├── Polling: useEffect + setInterval(2000)
├── Log merge: dedup by timestamp, keep last 50
├── Auto-scroll: useEffect on mirrorLogs change
└── Three columns
├── RAZUM (gold/φ)
│ ├── 2x3 metric grid (active highlighting)
│ ├── Query path: Symbolic → TVC → LLM
│ └── Live log (symbolic/memory hits only)
├── MATERIYA (cyan/π)
│ ├── 2x3 metric grid
│ ├── Energy pipeline (4-level cost table)
│ └── Live log (TVC hits + learned entries)
└── DUKH (purple/e)
├── 2x3 metric grid
├── Provider health (Groq/Claude %)
└── Live log (all events, last 10)

What This Means​

For Users​

Layer 7 is now a real-time control panel. You see exactly what happens when you send a message: which level caught it (symbolic/TVC/LLM), how long it took, how much energy was saved, whether it was learned for next time. The live logs scroll in real-time — send a message in Chat (layer 2), switch to Mirror (layer 7), and see it appear.

For Operators​

The /health endpoint now returns 25+ fields of operational data. You can build external monitoring on top of it. The ring buffer keeps the last 20 queries for debugging without any persistent storage overhead.

For Investors​

This is observability built into the product. Every AI system needs transparency about what's happening inside. Mirror shows the query routing path, cache efficiency, energy savings, and provider health — all in one glass-morphism dashboard that lives inside the canvas.


Critical Assessment​

What Works​

  • Live logs appear in real-time after sending messages in Chat
  • Query path visualization correctly highlights active routing step
  • Energy pipeline gives immediate intuition about cost hierarchy
  • Provider health shows at-a-glance Groq/Claude status
  • 2-second polling feels responsive without hammering the backend
  • Log deduplication prevents duplicates across polls
  • Offline state clearly shows how to start backend

What Needs Improvement​

  • Ring buffer is fixed at 20 — under heavy load, some entries may be missed between 2s polls
  • Log entries only show query preview (64 chars) — full query not available
  • No log filtering/search within the dashboard
  • No graph/chart visualization of metrics over time (all current values)
  • No export/download of log data
  • Mobile layout: 3 columns needs responsive breakpoint

Honest Rating​

8.2/10 — Significant upgrade from v2.2's static metrics-only design. The live logs and query path make the system genuinely transparent. The 3-column layout effectively maps to the Three Worlds philosophy while being functionally useful.


Tech Tree Options​

Option A: Time-Series Graphs​

Add sparkline mini-graphs to each metric (hit rate over time, latency over time). Store last 100 data points in frontend state. Makes trends visible at a glance.

Option B: Log Search + Filter​

Add a search bar at the top of Mirror that filters log entries across all three columns. Filter by source, confidence threshold, or query text. Export as JSON/CSV.

Option C: Inter-Layer Communication​

When you click a log entry in Mirror, it opens that query in Chat layer with full context. Bidirectional: sending a message in Chat auto-scrolls Mirror logs. Makes the layers truly connected.


Specification​

Source: specs/tri/trinity_canvas_v2_3.vibee


Conclusion​

Trinity Canvas v2.3 transforms the Mirror of Three Worlds from a static metrics display into a functional live dashboard. Backend ring buffer logs every query. Frontend shows real-time logs, query paths, energy costs, and provider health across three sacred columns. The user sees exactly what happens inside the system — no empty design, only useful information. Improvement rate 2.28 (3.7x above golden ratio threshold).

KOSCHEI IS IMMORTAL | GOLDEN CHAIN #51 | phi^2 + 1/phi^2 = 3