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feat(ai): config-driven sampling profile — triage T=0, primary T=0.3 top_p=0.9

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P1 of family-adaptive-bengio (Mac mini 4-lever bundle).

AIModelConfig: temperature/top_p Optional fields (None = server default). _request OpenAI/MLX branch payload 조건부 sampling 인자 삽입. config.yaml ai.models.triage.temperature=0.0 (deterministic) / primary temperature=0.3 top_p=0.9 (summary creativity). fallback (Anthropic) branch 미적용 — 별 plan 범위. caller 코드 무변경.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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hyungi
2026-05-23 06:37:46 +00:00
parent e4cfd81e15
commit 5cb8d04b50
3 changed files with 18 additions and 6 deletions
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app/core/config.py
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@@ -26,6 +26,10 @@ class AIModelConfig(BaseModel):
# B-0: 4B/26B 에 부여한 실사용 컨텍스트 상한 (char). triage=120k, primary=260k.
# classify_worker 가 에스컬레이션 판정 시 참고. 0/None 이면 상한 무시.
context_char_limit: int | None = None
# P1 of family-adaptive-bengio (2026-05-23): config-driven sampling profile.
# None = MLX/OpenAI server default. Anthropic branch 는 미적용 (별 plan 범위).
temperature: float | None = None
top_p: float | None = None
class DeepSummaryBacklogConfig(BaseModel):