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hyungi_document_server/config.yaml
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2026-05-13 12:02:26 +09:00

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YAML

# hyungi_Document_Server 설정
ai:
gateway:
endpoint: "http://ai-gateway:8080"
models:
# ─── 2-tier routing (PR-B) ───
# triage: 상시 분류·요약·근거 선별. GPU Ollama gemma-4b (Q8_0, ~11.6GB).
# concurrent OK — llm_gate Semaphore 경유 불필요.
triage:
endpoint: "http://ollama:11434/v1/chat/completions"
model: "gemma4:e4b-it-q8_0"
max_tokens: 4096
timeout: 30
context_char_limit: 120000
# primary: 에스컬레이션 전용. 26B MLX (맥미니 Semaphore(1) 보호 대상).
primary:
endpoint: "http://100.76.254.116:8801/v1/chat/completions"
model: "mlx-community/gemma-4-26b-a4b-it-8bit"
max_tokens: 8192
timeout: 180
context_char_limit: 260000
# fallback: primary 장애 시 최후 방어선. triage 와 동일 모델 — gemma-4b 로 퇴행 허용.
fallback:
endpoint: "http://ollama:11434/v1/chat/completions"
model: "gemma4:e4b-it-q8_0"
max_tokens: 4096
timeout: 120
premium:
endpoint: "https://api.anthropic.com/v1/messages"
model: "claude-sonnet-4-20250514"
max_tokens: 8192
daily_budget_usd: 5.00
require_explicit_trigger: true
embedding:
endpoint: "http://ollama:11434/api/embeddings"
model: "bge-m3"
rerank:
endpoint: "http://reranker:80/rerank"
model: "bge-reranker-v2-m3"
# Phase 3.5a answerability classifier. 모델은 gemma4:e4b 로 통일 (exaone 제거 반영).
# classifier_service 가 hasattr 체크로 optional 이므로 이 섹션 제거 시 classifier gate
# 는 자동 skip (score-only). 지금은 의도적으로 유지.
classifier:
endpoint: "http://ollama:11434/v1/chat/completions"
model: "gemma4:e4b-it-q8_0"
max_tokens: 512
timeout: 10
# 제거: vision (미사용)
# ─── deep_summary enqueue 폭발 억제 (B-1 R2) ───
# 초기 튜닝 전 deep_summary 큐에 soft escalate 가 과발생하면 MLX 26B 가 포화된다.
# 아래 임계치 중 하나라도 초과하면 soft escalate (recommend_deep_summary 만) 를
# suppress. hard escalate (long_context / triage_json_invalid / low_confidence)는
# 절대 suppress 되지 않는다.
deep_summary_backlog:
ratio_threshold: 0.3 # 지난 window 의 deep_n/classify_n
pending_threshold: 5 # deep_summary stage 의 pending+processing
window_minutes: 30
nas:
mount_path: "/documents"
pkm_root: "/documents/PKM"
# ─── 업로드 한도 정책 (authoritative) ───
# 프록시(home-caddy 등) request_body 한도는 max_bytes * content_length_slack_ratio 이상 유지.
upload:
max_bytes: 100000000 # 100 MB (SI). 업로드 실제 제한의 단일 진실 공급원.
content_length_slack_ratio: 1.05 # multipart form 오버헤드(헤더/바운더리) 여유.
stream_chunk_bytes: 1048576 # 1 MiB 단위 스트리밍 read/write.
# ─── 문서 분류 체계 ───
taxonomy:
Philosophy:
Ethics: []
Metaphysics: []
Epistemology: []
Logic: []
Aesthetics: []
Eastern_Philosophy: []
Western_Philosophy: []
Language:
Korean: []
English: []
Japanese: []
Translation: []
Linguistics: []
Engineering:
Mechanical: [Piping, HVAC, Equipment]
Electrical: [Power, Instrumentation]
Chemical: [Process, Material]
Civil: []
Network: [Server, Security, Infrastructure]
Industrial_Safety:
Legislation: [Act, Decree, Foreign_Law, Korea_Law_Archive, Enforcement_Rule, Public_Notice, SAPA]
Theory: [Industrial_Safety_General, Safety_Health_Fundamentals]
Academic_Papers: [Safety_General, Risk_Assessment_Research]
Cases: [Domestic, International]
Practice: [Checklist, Contractor_Management, Safety_Education, Emergency_Plan, Patrol_Inspection, Permit_to_Work, PPE, Safety_Plan]
Risk_Assessment: [KRAS, JSA, Checklist_Method]
Safety_Manager: [Appointment, Duty_Record, Improvement, Inspection, Meeting]
Health_Manager: [Appointment, Duty_Record, Ergonomics, Health_Checkup, Mental_Health, MSDS, Work_Environment]
Programming:
Programming_Language: [Python, JavaScript, Go, Rust]
Framework: [FastAPI, SvelteKit, React]
DevOps: [Docker, CI_CD, Linux_Administration]
AI_ML: [Large_Language_Model, Computer_Vision, Data_Science]
Database: []
Software_Architecture: []
General:
Reading_Notes: []
Self_Development: []
Business: []
Science: []
History: []
document_types:
- Reference
- Standard
- Manual
- Drawing
- Template
- Note
- Academic_Paper
- Law_Document
- Report
- Memo
- Checklist
- Meeting_Minutes
- Specification
- 발주서
- 세금계산서
- 명세표
- 도면
- 증명서
- 계획서
- 시방서
schedule:
law_monitor: "07:00"
mailplus_archive: ["07:00", "18:00"]
daily_digest: "20:00"
file_watcher_interval_minutes: 5
queue_consumer_interval_minutes: 10