37 lines
1.1 KiB
Bash
37 lines
1.1 KiB
Bash
LANGSMITH_TRACING=True
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LANGSMITH_ENDPOINT=https://api.smith.langchain.com
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LANGSMITH_API_KEY=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
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LANGSMITH_PROJECT="agent_learning"
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DATABASE_URI=sqlite:///./langgraph.db
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REDIS_URI=redis://localhost:6379/0
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#spark：
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# LLM_API_KEY='semi-ai.tech'
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# LLM_BASE_URL="http://192.168.137.96:8000/v1"
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# LLM_MODEL = "Qwen/Qwen3.6-35B-A3B-FP8"
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# ASR_TTS_BASE_URL = "http://192.168.137.96:8100"
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ASR_BASE_URL = "http://192.168.137.96:8901/v1"
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TTS_BASE_URL = "http://192.168.137.96:8902"
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RAG_BASE_URL = "http://192.168.137.96:8903"
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#6000pro：
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LLM_API_KEY='semi-ai.tech'
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LLM_BASE_URL="http://semi-ai.tech:40056/v1"
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LLM_MODEL = "Intel/Qwen3.6-35B-A3B-int4-mixed-AutoRound"
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#A100：
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# LLM_API_KEY = 'sk-kGhWAQTqLk9ECsmIDb758a456bD34e92B9771dF2E36432Fb'
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# LLM_BASE_URL = "https://app.semi-ai.tech:60004/v1"
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# LLM_MODEL = "Qwen3.5-122B-A10B"
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# LLM_TIMEOUT = 300
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# LLM_REQUESTS_PER_SECOND = 10.0
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# LLM_MAX_BUCKET_SIZE = 10
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# LLM_CHECK_EVERY_N_SECONDS = 0.1
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#context:
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LLM_CONTEXT_WINDOW=32768
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MINI_COMPRESS_RATE=0.4
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HARD_COMPRESS_RATE=0.6
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CURRENT_TURNS=4
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IMG_SIZE=768
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RAG_CHUNK_SIZE=500
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RAG_CHUNK_OVERLAP=50 |