Created: 2026-03-31 Phase: 6 of 6 (FINAL) Branch: development Status: IN PROGRESS
Full integration + adversarial test suite. Profile benchmarks. Viking/Skald persona consistency scoring. MkDocs documentation site. v1.0.0 release with CHANGELOG, updated README, and Hugging Face model card.
| File | Status |
|---|---|
TASK_PHASE6_RELEASE.md |
✅ (this file) |
benchmarks/__init__.py |
✅ |
benchmarks/benchmark_profiles.py |
✅ |
benchmarks/persona_consistency.py |
✅ |
locustfile.py |
✅ |
mkdocs.yml |
✅ |
docs/index.md |
✅ |
docs/quickstart.md |
✅ |
docs/hardware_profiles.md |
✅ |
docs/api.md |
✅ |
CHANGELOG.md |
✅ |
MODEL_CARD.md |
✅ |
pyproject.toml — version 0.1.0 → 1.0.0 |
✅ |
tests/test_phase6_integration.py |
✅ |
tests/test_phase6_adversarial.py |
✅ |
tests/test_phase6_release.py |
✅ |
BenchmarkQuery— query text + expected topic + min word countBenchmarkResult— per-profile metrics: citation_accuracy, avg_response_words, avg_latency_ms, token_efficiency, enforcement_pass_rate, quality_summaryProfileBenchmark—run(profile_id, queries=None, core=None) -> BenchmarkResultUses ThoughtForgeCore in no-model mode; records latency, citation hits, enforcement status per query
ConsistencyResult— consistency_score, total_turns, flagged_turns, generic_phrase_hits, norse_tone_hits, citation_turns, summaryPersonaConsistencyScorer—score(responses: list[str]) -> ConsistencyResultChecks for hard generic AI phrases (penalty), Norse/Skald tone markers (bonus), citation presence (bonus). Designed to validate the Skald persona across 100+ turns.GENERIC_PHRASES— list of phrases that break character (as an AI, I cannot, etc.)NORSE_TONE_MARKERS— tone words that reinforce persona
ThoughtForgeUser(HttpUser)— Locust load test user Simulates concurrentthink()calls via HTTP interface Tasks: single query, multi-turn conversation, knowledge-only mode
mkdocs.yml— Material theme, nav structure, pluginsdocs/index.md— Project vision, pillars, quick start commanddocs/quickstart.md— Step-by-step 5-minute setupdocs/hardware_profiles.md— All 6 profiles with specsdocs/api.md— API reference for key classes
- Full
think()pipeline end-to-end (no DB fallback) - FinalResponseRecord completeness (all fields present)
- Multi-call stability (same core, 3 consecutive calls)
- Knowledge-only mode returns valid text
enforcement_passedalways bool,enforcement_notesalways str
- Empty string input → no crash, valid FinalResponseRecord
- All-whitespace input → handled gracefully
- Very long query (2000+ chars) → no crash
- SQL injection string → treated as plain text (no crash)
- Unicode + emoji query → no crash
- Repeated identical query → stable output
- Query with hallucinated QIDs → enforcement gate catches
- Genericness phrases in synthetic response → EnforcementGate flags
- mkdocs.yml valid YAML + required keys
- CHANGELOG.md mentions v1.0.0
- pyproject.toml version == 1.0.0
- MODEL_CARD.md exists and non-empty
- BenchmarkResult dataclass fields + score ranges
- ConsistencyResult dataclass fields + score range
- PersonaConsistencyScorer returns valid result on sample data
- locustfile.py exists and importable structure check
v1.0 is the milestone — public demo + benchmark report. After Phase 6: tag v1.0.0, push to main, create GitHub release.