LANGSMITH_TRACING=True
LANGSMITH_ENDPOINT=https://api.smith.langchain.com
LANGSMITH_API_KEY=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
LANGSMITH_PROJECT="agent_learning"
DATABASE_URI=sqlite:///./langgraph.db
REDIS_URI=redis://localhost:6379/0
#spark：
# LLM_API_KEY='semi-ai.tech'
# LLM_BASE_URL="http://192.168.137.96:8000/v1"
# LLM_MODEL = "Qwen/Qwen3.6-35B-A3B-FP8"
# ASR_TTS_BASE_URL = "http://192.168.137.96:8100"
# ASR_BASE_URL = "http://192.168.137.96:8901/v1"
# TTS_BASE_URL = "http://192.168.137.96:8902"
# RAG_BASE_URL = "http://192.168.137.96:8903"


ASR_BASE_URL = "http://192.168.137.164:8901/v1"
TTS_BASE_URL = "http://192.168.137.164:8902"
RAG_BASE_URL = "http://192.168.137.164:8903"

#6000pro：
# LLM_API_KEY='semi-ai.tech'
# LLM_BASE_URL="http://semi-ai.tech:40056/v1"
# LLM_MODEL = "Intel/Qwen3.6-35B-A3B-int4-mixed-AutoRound"

#A100：
LLM_API_KEY = 'sk-kGhWAQTqLk9ECsmIDb758a456bD34e92B9771dF2E36432Fb'
LLM_BASE_URL = "https://app.semi-ai.tech:60004/v1"
LLM_MODEL = "Qwen3.5-122B-A10B"
# LLM_TIMEOUT = 300  
# LLM_REQUESTS_PER_SECOND = 10.0
# LLM_MAX_BUCKET_SIZE = 10
# LLM_CHECK_EVERY_N_SECONDS = 0.1

#context:
LLM_CONTEXT_WINDOW=32768
MINI_COMPRESS_RATE=0.4
HARD_COMPRESS_RATE=0.6
CURRENT_TURNS=4
IMG_SIZE=768
RAG_CHUNK_SIZE=500
RAG_CHUNK_OVERLAP=50