# =============================================================================
# 로컬 Mac/Docker + exdev(chatbot.exdev.co.kr) 호스트 AI (SSH 터널)
# 사용법:
#   1) ./local-dev/start-exdev-ai-tunnel.sh   (별도 터미널 유지)
#   2) cp local-dev/env.exdev-ai.template exAiChatBot-chatbot2.0-agent/.env
#   3) exAiChatBot / chatbotApi / kakaoChatbotSkill / chatbotApp 기동
# =============================================================================

# ── exdev AI (Mac localhost:16000~16002 → SSH 터널) ──
# Docker Desktop(Mac): host.docker.internal
# Linux host network / 로컬 python: 127.0.0.1
LLM_BASE_URL=http://host.docker.internal:16000
TEI_EMBED_URL=http://host.docker.internal:16001
TEI_RERANK_URL=http://host.docker.internal:16002

# exdev Mac Studio 실제 모델명 (curl http://127.0.0.1:16000/v1/models 참고)
LLM_MODEL_NAME=mlx-community/Qwen2.5-7B-Instruct-4bit
EMBED_MODEL_NAME=Qwen/Qwen3-Embedding-8B
TEI_RERANK_MODEL=qwen3-reranker-4b

# exdev 호스트 AI API 스타일 (게이트웨이와 다름)
EMBED_API_STYLE=tei
RERANK_API_STYLE=legacy
MODEL_VERIFY_SSL=false
API_TIMEOUT=120

# 게이트웨이 키 불필요 (exdev 호스트 AI는 Bearer 없음)
MODEL_API_KEY=

# ── exdev MongoDB / Qdrant (stock.exdev.co.kr, 로컬 미기동) ──
EXDEV_DATA_HOST=stock.exdev.co.kr
MONGO_HOST=stock.exdev.co.kr
MONGO_PORT=27017
MONGO_USER=
MONGO_PASSWORD=
MONGO_DATABASE=chat_history
MONGO_COLLECTION=rag_conversations

VECTOR_STORE=qdrant
QDRANT_HOST=stock.exdev.co.kr
QDRANT_PORT=6333
# stock.exdev.co.kr 운영 컬렉션 (8488 vectors, 2026-07)
QDRANT_COLLECTION=qa_vectors

# chatbotApi (WAS) — stock MongoDB chatbot DB
MONGODB_URI=mongodb://exDev:ehfhrhdtk!!@stock.exdev.co.kr:27017/chatbot?authSource=chatbot&heartbeatFrequencyMS=30000&minPoolSize=3&maxIdleTimeMS=1800000


# ── 로컬 WAS / Skill 연동 ──
CHATBOT_API_BASE_URL=http://127.0.0.1:8086/api
INTERNAL_TOOL_API_KEY=local-dev-key
AGENT_MAX_ROUNDS=6
CHATBOT_TOOL_TIMEOUT=60

ADMIN_PORT=28013
UVICORN_WORKERS=2