¨NW¨ fb552e0020 feat: v3 optimal model assignments + fitness gate ...

- Update 30 agents to v3 heatmap maximum-score models:
  * go-dev: qwen3-coder -> deepseek-v4-pro-max (85->88 +3)
  * planner: nemotron -> deepseek-v4-pro-max (80->88 +8)
  * perf-engineer: nemotron -> deepseek-v4-pro-max (78->84 +6)
  * reflector: nemotron -> deepseek-v4-pro-max (78->84 +6)
  * security: nemotron -> deepseek-v4-pro-max (76->80 +4)
  * memory-manager: nemotron -> qwen3.6-plus (86->87 +1)
  * frontend: kimi-k2.5 -> minimax-m2.5 (92)
  * the-fixer: minimax-m2.5 -> kimi-k2.6 (88->90 +2)
  * browser-auto: kimi-k2.6 -> qwen3-coder (86->87 +1)
  * prompt-opt: glm-5.1 -> qwen3.6-plus (82->83 +1)
  * backend: deepseek-v3.2 -> qwen3-coder (91)
  * capability-analyst: nemotron -> glm-5.1 (85)
  * release-man: devstral-2 -> glm-5.1 (82)
  * evaluator: nemotron -> glm-5.1 (86)
  * workflow-arch: gpt-oss -> glm-5.1 (84)

- Add Model Evolution Guard:
  * fitness-gate.cjs: rejects downgrades >3 points or <75 score
  * Normalized model ID lookup (: vs -)
  * Diff report before any file modifications
- Update sync-benchmarks-from-yaml.cjs with fitness gate
- Sync kilo-meta.json, kilo.jsonc, .md agent files
- Rebuild research-dashboard.html (104KB, 30 agents, 11 models)

Total improvement: +105 points across 11 agents
Source: v3.html heatmap IF-adjusted composite scores

2026-04-30 08:42:10 +01:00

14 KiB

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