49 lines
1.4 KiB
Text
49 lines
1.4 KiB
Text
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# DEFAULT MODEL_CONFIGURATIONS
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DEFAULT_MODEL="openai/gpt-4o-mini"
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SUMMARIZATION_MODEL="openai/gpt-4o-mini"
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RETRIEVAL_MODEL="openai/gpt-4o-mini"
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# OPENAI
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# USE MODEL NAMES AS "openai/<modelname>"
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# EXAMPLE - openai/gpt-4o-mini
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OPENAI_API_KEY=
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# ANTHROPIC
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# USE MODEL NAMES AS "anthropic/<modelname>"
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# EXAMPLE - anthropic/claude-3-5-sonnet-20240620
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ANTHROPIC_API_KEY=
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# OLLAMA
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# USE MODEL NAMES AS "ollama/<modelname>"
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# EXAMPLE - ollama/gemma2
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OLLAMA_API_BASE="http://10.20.30.20:11434"
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# OPEN ROUTER
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# USE MODEL NAMES AS "openrouter/<modelname>"
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# EXAMPLE - openrouter/nvidia/llama-3.1-nemotron-70b-instruct
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OPENROUTER_BASE_URL="https://openrouter.ai/api/v1"
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OPENROUTER_API_KEY=
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# USE THIS IF YOU WANT TO DEBUG THE APP ON LANGSMITH
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# LANGCHAIN_TRACING_V2=true
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# LANGCHAIN_ENDPOINT="https://api.smith.langchain.com"
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# LANGCHAIN_API_KEY=
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# LANGCHAIN_PROJECT="Open Notebook"
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# CONNECTION DETAILS FOR YOUR SURREAL DB
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SURREAL_ADDRESS="ws://localhost:8000/rpc"
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SURREAL_USER="root"
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SURREAL_PASS="root"
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SURREAL_NAMESPACE="open_notebook"
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SURREAL_DATABASE="staging"
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# This is used for the summarization feature when the content is to big to fit a single context window
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# It is measured in characters, not tokens.
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SUMMARY_CHUNK_SIZE=200000
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SUMMARY_CHUNK_OVERLAP=1000
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# This is used for vector embeddings
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# It is measured in characters, not tokens.
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EMBEDDING_CHUNK_SIZE=1000
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EMBEDDING_CHUNK_OVERLAP=50
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