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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