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55 lines
1.2 KiB
Bash
55 lines
1.2 KiB
Bash
COMPOSE_PROJECT_NAME=wrenai
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PLATFORM=linux/amd64
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PROJECT_DIR=.
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# service port
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WREN_ENGINE_PORT=8080
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WREN_ENGINE_SQL_PORT=7432
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WREN_AI_SERVICE_PORT=5555
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WREN_UI_PORT=3000
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IBIS_SERVER_PORT=8000
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# service endpoint (for docker-compose-dev.yaml file)
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WREN_UI_ENDPOINT=http://docker.for.mac.localhost:3000
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# ai service settings
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QDRANT_HOST=qdrant
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SHOULD_FORCE_DEPLOY=1
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# vendor keys
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LLM_OPENAI_API_KEY=
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EMBEDDER_OPENAI_API_KEY=
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LLM_AZURE_OPENAI_API_KEY=
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EMBEDDER_AZURE_OPENAI_API_KEY=
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QDRANT_API_KEY=
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# version
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# CHANGE THIS TO THE LATEST VERSION
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WREN_PRODUCT_VERSION=0.10.0
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WREN_ENGINE_VERSION=0.11.2
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WREN_AI_SERVICE_VERSION=0.10.4
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IBIS_SERVER_VERSION=0.11.2
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WREN_UI_VERSION=0.16.0
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WREN_BOOTSTRAP_VERSION=0.1.5
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# user id (uuid v4)
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USER_UUID=
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# for other services
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POSTHOG_API_KEY=phc_nhF32aj4xHXOZb0oqr2cn4Oy9uiWzz6CCP4KZmRq9aE
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POSTHOG_HOST=https://app.posthog.com
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TELEMETRY_ENABLED=true
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# this is for telemetry to know the model, i think ai-service might be able to provide a endpoint to get the information
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GENERATION_MODEL=gpt-4o-mini
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LANGFUSE_SECRET_KEY=
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LANGFUSE_PUBLIC_KEY=
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# the port exposes to the host
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# OPTIONAL: change the port if you have a conflict
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HOST_PORT=3000
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AI_SERVICE_FORWARD_PORT=5555
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# Wren UI
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EXPERIMENTAL_ENGINE_RUST_VERSION=false
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