60 lines
1.3 KiB
Plaintext
60 lines
1.3 KiB
Plaintext
# Environment variables for local testing.
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# This file is loaded by pytest-dotenv and overrides variables from .env.
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# Google AI Configuration
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GOOGLE_GENAI_USE_VERTEXAI=FALSE
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GOOGLE_API_KEY=AIzaSyCPTw-PjIJR1WqSSyLcdR7IHGAGPOBnb-M
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# RAG Configuration
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ENCODER_MODEL=all-MiniLM-L6-v2
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#ENCODER_MODEL=models/text-embedding-004
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VECTOR_SIZE=384
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COLLECTION_NAME=dave_knowledge
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# Qdrant Configuration
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QDRANT_HOST=long-term-memory
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QDRANT_PORT=6333
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QDRANT_WEB_PORT=6334
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# Docker Compose Configuration
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DAVE_AGENT_PORT=8000
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DAVE_AGENT_CONTAINER=dave-agent
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QDRANT_CONTAINER=long-term-memory
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DAVE_AGENT_CONTAINER_DEBUG=dave-agent-debug
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QDRANT_CONTAINER_DEBUG=qdrant-storage-debug
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DEBUG_PORT=5678
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DEBUG_WAIT_FOR_ATTACH=true
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# D4Science Python Library Configuration
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D4S_ENV=production
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#D4S_CONFIG_DIR=/etc/d4science
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#D4S_CONFIG_FILENAME=d4s_config.json
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#DAVE_CONFIG=/etc/dave_config.json
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# D4Science Python Library Configuration for local execution
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D4S_CONFIG_DIR=./config
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D4S_CONFIG_FILENAME=d4s_config.json
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# DAVE Agent Configuration for local execution
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DAVE_CONFIG=./config/dave_config.json
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# Other encoder options (uncomment to use):
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# ENCODER_MODEL=all-mpnet-base-v2
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# VECTOR_SIZE=768
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#
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# ENCODER_MODEL=multi-qa-mpnet-base-dot-v1
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# VECTOR_SIZE=768
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#
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# ENCODER_MODEL=paraphrase-multilingual-MiniLM-L12-v2
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# VECTOR_SIZE=384
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