.env.example

# Environmental Variables

#check env.md file for examples and descriptions on each variable

#----------------- REQUIRED --------------------------
#This is the only required/mandatory variable
#Node will simply not run without this variable
#All the other variables can remain blank (because they have defaults) or simply commented
export PRIVATE_KEY=REPLACE_ME
#-----------------------------------------------------

## core
export RPCS=
export DB_URL=
export IPFS_GATEWAY=https://ipfs.io/
export ARWEAVE_GATEWAY=https://arweave.net/
export LOAD_INITIAL_DDOS=
export FEE_TOKENS=
export FEE_AMOUNT=
export ADDRESS_FILE=
export NODE_ENV=
export AUTHORIZED_DECRYPTERS=
export AUTHORIZED_DECRYPTERS_LIST=
export OPERATOR_SERVICE_URL=
export POLICY_SERVER_URL
export INTERFACES=
export ALLOWED_VALIDATORS=
export ALLOWED_VALIDATORS_LIST=
export AUTHORIZED_PUBLISHERS=
export AUTHORIZED_PUBLISHERS_LIST=
export INDEXER_INTERVAL=
export ALLOWED_ADMINS=
export ALLOWED_ADMINS_LIST=
export RATE_DENY_LIST=
export MAX_REQ_PER_MINUTE=
export MAX_CHECKSUM_LENGTH=
export LOG_LEVEL=
export HTTP_API_PORT=
export VALIDATE_UNSIGNED_DDO=
export JWT_SECRET=

## p2p

export P2P_ENABLE_IPV4=
export P2P_ENABLE_IPV6=
export P2P_ipV4BindAddress=
export P2P_ipV4BindTcpPort=
export P2P_ipV4BindWsPort=
export P2P_ipV6BindAddress=
export P2P_ipV6BindTcpPort=
export P2P_ipV6BindWsPort=
export P2P_ANNOUNCE_ADDRESSES=
export P2P_ANNOUNCE_PRIVATE=
export P2P_pubsubPeerDiscoveryInterval=
export P2P_dhtMaxInboundStreams=
export P2P_dhtMaxOutboundStreams=
export P2P_mDNSInterval=
export P2P_connectionsMaxParallelDials=
export P2P_connectionsDialTimeout=
export P2P_ENABLE_UPNP=
export P2P_ENABLE_AUTONAT=
export P2P_ENABLE_CIRCUIT_RELAY_SERVER=
export P2P_ENABLE_CIRCUIT_RELAY_CLIENT=
export P2P_BOOTSTRAP_NODES=
export P2P_FILTER_ANNOUNCED_ADDRESSES=

## compute
# Each environment defines its own resources (CPU, RAM, disk, GPUs) with full configuration.
# CPU, RAM, and disk are per-env exclusive: inUse tracked only within the environment where the job runs.
# A global check ensures the aggregate usage across all environments does not exceed physical capacity.
# GPUs are shared-exclusive: if a job on envA uses gpu0, it shows as in-use on envB too.
# CPU cores are automatically partitioned across environments based on each env's cpu.total.
# CPU and RAM defaults are auto-detected from the system when not configured.
# export DOCKER_COMPUTE_ENVIRONMENTS='[{"socketPath":"/var/run/docker.sock","environments":[{"id":"envA","storageExpiry":604800,"maxJobDuration":3600,"minJobDuration":60,"resources":[{"id":"cpu","total":4,"max":4,"min":1,"type":"cpu"},{"id":"ram","total":16,"max":16,"min":1,"type":"ram"},{"id":"disk","total":500,"max":500,"min":10,"type":"disk"},{"id":"gpu0","total":1,"max":1,"min":0,"type":"gpu","init":{"deviceRequests":{"Driver":"nvidia","DeviceIDs":["0"],"Capabilities":[["gpu"]]}}}],"fees":{"1":[{"feeToken":"0x123","prices":[{"id":"cpu","price":1},{"id":"ram","price":0.1},{"id":"disk","price":0.01},{"id":"gpu0","price":5}]}]}}]}]'
export DOCKER_COMPUTE_ENVIRONMENTS=