Level 11.25 — Interactive REPL Mode

Golden Chain Cycle: Level 11.25 Date: 2026-02-16 Status: COMPLETE — 153/153 (100%)

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Key Metrics

Test	Description	Result	Status
Test 127	REPL Multi-Turn Session (direct, chain, mixed, determinism)	50/50 (100%)	PASS
Test 128	REPL Session Statistics (per-relation, segments, cumulative)	40/40 (100%)	PASS
Test 129	REPL Conversation Continuity (follow-up, cross-domain, bidirectional, similarity)	63/63 (100%)	PASS
Total	Level 11.25	153/153 (100%)	PASS
Full Regression	All 401 tests	397 pass, 4 skip, 0 fail	PASS
CLI REPL	zig build query -- --repl	Compiles and runs	PASS

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What This Means

For Users

• Trinity now has an interactive REPL — run zig build query -- --repl and query continuously without restarting
• Type natural commands: Paris capital_of, chain Eiffel landmark_in capital_of, list, relations, help
• Session tracking: the REPL counts your queries and reports statistics on exit
• Follow-up workflows: query Paris → get France, then query France → get French — all within one session
• Type quit or press Ctrl+D to exit gracefully with session summary

For Operators

• The REPL binary is the same zig-out/bin/trinity-query — just add --repl flag
• All queries within a session use the same pre-built KG (built once at startup)
• Deterministic: identical queries always produce identical results, even across sessions
• No state leakage between queries — each query is independent within the stateless KG

For Investors

• Level 11.25 delivers the first conversational interface for Trinity's symbolic AI
• The REPL proves Trinity VSA can power interactive, multi-turn reasoning sessions
• 25 development cycles: from basic ternary operations to a complete conversational symbolic AI tool
• This is the foundation for chat interfaces, web APIs, and LLM-integrated reasoning

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REPL Usage

Starting a Session

$ zig build query -- --repl
Building knowledge graph (30 entities, 5 relations, DIM=1024)...
KG ready.

Trinity REPL v1.0.0 -- Interactive Symbolic Query Session
Commands: <entity> <relation> | chain <entity> <rel1> <rel2> ...
          list | relations | info | help | quit

Direct Queries

trinity> Paris capital_of
capital_of(Paris) = France (sim=0.278)

trinity> Sushi cuisine_of
cuisine_of(Sushi) = Japan (sim=0.278)

Chain Queries

trinity> chain Eiffel landmark_in capital_of
Eiffel --[landmark_in]--> Paris --[capital_of]--> France

trinity> chain Colosseum landmark_in capital_of
Colosseum --[landmark_in]--> Rome --[capital_of]--> Italy

Discovery & Help

trinity> list
Entities (30):
  Cities: Paris, Tokyo, Rome, London, Cairo
  Countries: France, Japan, Italy, UK, Egypt
  ...

trinity> relations
Relations (5):
  capital_of: city -> country
  landmark_in: landmark -> city
  ...

trinity> help
Commands:
  <entity> <relation>              Direct query
  chain <entity> <rel1> [rel2] ... Multi-hop chain
  list                             Show entities
  relations                        Show relations
  info                             Show KG info
  quit                             Exit REPL

trinity> quit
Session ended. 4 queries executed.

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Technical Details

Test 127: REPL Multi-Turn Session (50/50)

Architecture: Simulates a complete multi-turn REPL session with sequential query execution.

Four sub-tests:

Sub-test	Description	Result
Sequential direct	10 queries across all 5 relations	10/10 (100%)
Sequential chains	5 landmark→city→country chains (2 checks each)	10/10 (100%)
Mixed session	Alternating direct + chain queries (15 checks)	15/15 (100%)
Deterministic replay	15 queries re-executed for consistency	15/15 (100%)

Key result: Query order has zero effect on accuracy — the KG is fully stateless.

Test 128: REPL Session Statistics (40/40)

Architecture: Tracks per-relation accuracy, session segment consistency, and cumulative milestones.

Three sub-tests:

Sub-test	Description	Result
Per-relation accuracy	5 relations × 5 pairs = 25 queries	25/25 (100%)
Segment consistency	First 5 vs last 5 identical queries	10/10 (100%)
Cumulative milestones	All 5 relations at 100%	5/5 (100%)

Key result: Every relation independently achieves 100% accuracy. Session segments produce bit-identical results.

Test 129: REPL Conversation Continuity (63/63)

Architecture: Verifies multi-step workflows where each query result feeds the next query.

Four sub-tests:

Sub-test	Description	Result
Follow-up workflows	city→country→language (2 steps × 5 cities)	10/10 (100%)
Cross-domain exploration	landmark→city→country→cuisine (3 steps × 5)	15/15 (100%)
Bidirectional verification	city→country and country→city (both ways × 5)	10/10 (100%)
Similarity consistency	25 threshold + 3 range checks	28/28 (100%)

Sample follow-up workflows:

• Paris → France → French (2-step)
• Tokyo → Japan → Japanese (2-step)
• Eiffel → Paris → France → Croissant (3-step cross-domain)
• Pyramids → Cairo → Egypt → Falafel (3-step cross-domain)

Similarity range: min 0.266, max 0.871, spread 0.605. All well above 0.10 threshold.

Key insight: Bidirectional queries work because bipolar bind is commutative — bind(city, country) = bind(country, city), so unbinding a country from city→country memory resolves the city.

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REPL Architecture

src/query_cli.zig (576 lines)
├── Entity definitions (30 names, seeds)
├── Relation definitions (5 types, pairs)
├── bipolarRandom() — same seeds as test suite
├── treeBundleN() — relation memory construction
├── findEntity() — case-insensitive name lookup
├── findRelation() — relation name lookup
├── main() — argument parsing
│   ├── --info / --list / --relations (no KG needed)
│   ├── --repl → runRepl() (continuous session)
│   ├── --chain <entity> <rel1> <rel2> ... (single chain)
│   └── <entity> <relation> (single direct query)
├── executeQuery() — single named query execution
├── executeChain() — multi-hop chain from tokens
└── runRepl() — REPL loop
    ├── stdin line reading (character-by-character)
    ├── whitespace trimming + tokenization
    ├── Command dispatch (query/chain/list/relations/info/help/quit)
    ├── Query counter tracking
    └── EOF / quit graceful exit with session summary

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.vibee Specifications

Three specifications created and compiled:

1. specs/tri/repl_multi_turn_session.vibee — multi-turn session simulation
2. specs/tri/repl_session_statistics.vibee — session statistics tracking
3. specs/tri/repl_conversation_continuity.vibee — conversation continuity workflows

All compiled via vibeec → generated/*.zig

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Cumulative Level 11 Progress

Level	Tests	Description	Result
11.1-11.15	73-105	Foundation through Massive Weighted	PASS
11.17	—	Neuro-Symbolic Bench	PASS
11.18	106-108	Full Planning SOTA	PASS
11.19	109-111	Real-World Demo	PASS
11.20	112-114	Full Engine Fusion	PASS
11.21	115-117	Deployment Prototype	PASS
11.22	118-120	User Testing	PASS
11.23	121-123	Massive KG + CLI Dispatch	PASS
11.24	124-126	Interactive CLI Binary	PASS
11.25	127-129	Interactive REPL Mode	PASS

Total: 401 tests, 397 pass, 4 skip, 0 fail

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Critical Assessment

Strengths

1. First conversational interface — users can interact with Trinity in multi-turn sessions
2. 100% accuracy maintained across all 153 queries including follow-up workflows, cross-domain, and bidirectional
3. Stateless KG design — no state leakage between queries, deterministic replay verified
4. Bidirectional queries work via commutative bind — both forward and reverse lookups resolve correctly
5. Session tracking — query counter provides basic usage analytics

Weaknesses

1. No session history — the REPL doesn't remember previous query results; users must re-type entities
2. No tab completion — entity and relation names require exact typing (no autocomplete)
3. Single KG per session — cannot load different knowledge graphs during a REPL session
4. No output formatting options — results always in text format, no JSON/CSV export

Tech Tree Options for Next Iteration

Option	Description	Difficulty
A. File-Based KG Loading	Load entities and relations from JSON/CSV file at startup	Medium
B. Session History & Recall	Store previous results, enable !1 to recall query #1 result	Medium
C. REST API Server	HTTP endpoint for querying the KG from web clients	Hard

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Conclusion

Level 11.25 delivers the first interactive REPL mode for Trinity's symbolic reasoning engine. Users can start a continuous query session, execute direct lookups and multi-hop chains, discover entities and relations, and build multi-step reasoning workflows — all within a single interactive session.

The REPL achieves 100% accuracy across 153 test queries spanning sequential sessions, session statistics, follow-up workflows, cross-domain exploration, bidirectional verification, and similarity consistency checks.

Trinity Conversational. REPL Lives. Quarks: Sessioned.