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# Local environment overrides for developer workstations (not committed to git)
# Copy this file to .env.local and customize values for your setup.
# Variables defined here override defaults in infrastructure/setup/defaults.conf.
# Path to the OSMO repository clone (required for --use-local-osmo flag).
# The osmo-dev.sh script builds and runs the CLI from source via Bazel.
# Use an absolute path or ~ for home directory.
# OSMO_SOURCE_DIR=~/path/to/OSMO
# Helm Chart Versions
# GPU_OPERATOR_VERSION=v25.3.4
# KAI_SCHEDULER_VERSION=v0.5.5
# OSMO_CHART_VERSION=1.0.1
# OSMO_IMAGE_VERSION=6.0.0
# OSMO_PRERELEASE_CHART_VERSION=1.1.0
# OSMO_PRERELEASE_IMAGE_VERSION=v2026.02.22
# OSMO_USE_PRERELEASE=false
# NGC Authentication (required for pre-release images from nvcr.io)
# NGC_API_KEY=
# NVCR_PULL_SECRET=nvcr-pull-secret
# Kubernetes Namespaces
# NS_OSMO=osmo
# NS_OSMO_CONTROL_PLANE=osmo-control-plane
# NS_OSMO_OPERATOR=osmo-operator
# NS_OSMO_WORKFLOWS=osmo-workflows
# NS_AZUREML=azureml
# NS_GPU_OPERATOR=gpu-operator
# NS_KAI_SCHEDULER=kai-scheduler
# Secret Names
# SECRET_MEK=mek-config
# SECRET_POSTGRES=db-secret
# SECRET_REDIS=redis-secret
# Timeouts
# TIMEOUT_DEPLOY=600s
# TIMEOUT_WAIT=300
# Helm Repositories
# HELM_REPO_NVIDIA=https://helm.ngc.nvidia.com/nvidia
# HELM_REPO_GPU_OPERATOR=https://helm.ngc.nvidia.com/nvidia
# HELM_REPO_KAI=https://nvidia.github.io/k8s-device-scheduler/
# HELM_REPO_OSMO=https://helm.ngc.nvidia.com/nvidia/osmo
# Default Terraform Directory (relative to infrastructure/setup)
# DEFAULT_TF_DIR=../terraform
# AzureML Extension Configuration
# AZUREML_EXTENSION_NAME=aml-extension
# AZUREML_EXTENSION_VERSION=1.3.1
# AZUREML_RELEASE_NS=azureml
# AZUREML_RELAY_NS=azureml-hybrid-relay
# OSMO Component Names
# OSMO_SERVICE_CHART=osmo-service
# OSMO_ROUTER_CHART=osmo-router
# OSMO_WEBUI_CHART=osmo-web-ui
# OSMO_BACKEND_CHART=backend-operator
# Workload Identity Defaults
# WORKFLOW_SERVICE_ACCOUNT=osmo-workflow
# WI_FEDERATED_SUBJECT=system:serviceaccount
# OSMO Pool Configuration
# Selects which node pool the shared "default" pool targets.
# When empty, the first terraform node pool is used.
# DEFAULT_POOL=h100gpu
# Dataset Configuration Defaults
# DATASET_CONTAINER_NAME=datasets
# DATASET_BUCKET_NAME=training