Flowise/docker/.env.example

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PORT=3000
DATABASE_PATH=/root/.flowise
APIKEY_PATH=/root/.flowise
SECRETKEY_PATH=/root/.flowise
LOG_PATH=/root/.flowise/logs
BLOB_STORAGE_PATH=/root/.flowise/storage
# CORS_ORIGINS="*"
# IFRAME_ORIGINS="*"
# NUMBER_OF_PROXIES= 1
# DATABASE_TYPE=postgres
# DATABASE_PORT=""
# DATABASE_HOST=""
# DATABASE_NAME="flowise"
# DATABASE_USER=""
# DATABASE_PASSWORD=""
# DATABASE_SSL=true
# DATABASE_SSL_KEY_BASE64=<Self signed certificate in BASE64>
# FLOWISE_USERNAME=user
# FLOWISE_PASSWORD=1234
# FLOWISE_SECRETKEY_OVERWRITE=myencryptionkey
# FLOWISE_FILE_SIZE_LIMIT=50mb
# DEBUG=true
# LOG_LEVEL=debug (error | warn | info | verbose | debug)
# TOOL_FUNCTION_BUILTIN_DEP=crypto,fs
# TOOL_FUNCTION_EXTERNAL_DEP=moment,lodash
# LANGCHAIN_TRACING_V2=true
# LANGCHAIN_ENDPOINT=https://api.smith.langchain.com
# LANGCHAIN_API_KEY=your_api_key
# LANGCHAIN_PROJECT=your_project
# DISABLE_FLOWISE_TELEMETRY=true
# Uncomment the following line to enable model list config, load the list of models from your local config file
# see https://raw.githubusercontent.com/FlowiseAI/Flowise/main/packages/components/models.json for the format
# MODEL_LIST_CONFIG_JSON=/your_model_list_config_file_path