- Add NashMixture and MetaWeaknesses fields to meta.Description and
compute them from island population proportions (§10.2 PSRO)
- Update behaviorDistance to support N-D vectors for 4-D MAP-Elites
grid (aggression, economy, exploration, formation)
- Wire NashMixture/MetaWeaknesses through FromMetaDescription converter
so they actually reach the LLM prompt (was dead code before)
- Align LLM prompt with plan §15.1/§15.5: correct combat rules
(focus-fire), fog of war, HTTP protocol section, Nash mixture target
- Fix diversity normalization from sqrt(2) (2-D) to 2.0 (4-D max)
- Rename handleUIFeedback to handleCreateFeedback (§13.6 naming)
- Update tests for new fields and corrected prompt text
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- Fixed TestSelectBestCandidate_GoHttpBonus: HTTP bonus (1.5x) on 150-char code
(225 score) doesn't beat 500-char plain text (500 score). Test now expects
the longer code to win.
- Fixed TestScoreCandidate_Bonuses: adjusted minScore expectations to match
actual code lengths with 1.5x bonus applied.
- Fixed TestBehaviorDistance: use epsilon comparison for floating-point
precision instead of exact equality. sqrt(2) ≈ 1.414214 is not exactly
representable in floating-point.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add parent sampling via tournament selection (selector/tournament.go)
- Add replay analyzer to extract key moments, strategies, weaknesses
- Add meta builder for leaderboard summary and dominant strategies
- Add prompt assembler combining parent code + replay + meta context
- Add LLM ensemble with fast tier (GLM-5-Turbo) for bulk generation
and strong tier (GLM-5) for refinement passes
- Add code extraction from LLM responses with language validation
- Add convert utilities for type conversion between packages
- Comprehensive test coverage for all components
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
