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Administer your organization
Combine CLI commands into shell scripts, CI/CD pipelines, and provisioning workflows to automate common Viam operations.
Interactive viam login opens a browser, which does not work in headless environments.
Use API key authentication instead:
viam login api-key --key-id=$VIAM_API_KEY_ID --key=$VIAM_API_KEY
Store credentials in environment variables or your CI/CD system’s secret manager, not in the script itself. To create an API key, see Manage API keys.
If a script needs to operate across multiple organizations, set up profiles in advance:
viam profiles add --profile-name=production --key-id=$PROD_KEY_ID --key=$PROD_KEY
viam profiles add --profile-name=staging --key-id=$STAGING_KEY_ID --key=$STAGING_KEY
Then use --profile on each command, or set VIAM_CLI_PROFILE_NAME to activate a profile for the entire script:
export VIAM_CLI_PROFILE_NAME=production
viam machines list --all
A GitHub Actions workflow that builds and uploads a module when you push a version tag:
# .github/workflows/upload-module.yml
name: Upload module
on:
push:
tags:
- "v*"
jobs:
upload:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Install Viam CLI
run: |
sudo curl --compressed -o /usr/local/bin/viam \
https://storage.googleapis.com/packages.viam.com/apps/viam-cli/viam-cli-stable-linux-amd64
sudo chmod a+rx /usr/local/bin/viam
- name: Authenticate
run: viam login api-key --key-id=${{ secrets.VIAM_KEY_ID }} --key=${{ secrets.VIAM_KEY }}
- name: Build
run: viam module build local
- name: Upload
run: |
VERSION=${GITHUB_REF_NAME#v}
viam module upload --version=$VERSION --platform=linux/amd64 dist/archive.tar.gz
A script that creates a fresh dataset from recent data and submits a training job.
Set these environment variables before running:
VIAM_KEY_ID and VIAM_KEY: your API key credentials (see Manage API keys)ORG_ID: your organization ID (run viam organizations list)
#!/bin/bash
set -euo pipefail
viam login api-key --key-id=$VIAM_KEY_ID --key=$VIAM_KEY
# Create a dataset from the last 7 days of labeled images.
# The create command prints: "Created dataset <name> with dataset ID: <uuid>"
DATASET_ID=$(viam dataset create --org-id=$ORG_ID --name="weekly-$(date +%F)" \
| grep -oE '[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}')
# date -v is macOS; date -d is Linux. Adjust for your platform.
START=$(date -u -v-7d +%FT%TZ 2>/dev/null || date -u -d '7 days ago' +%FT%TZ)
END=$(date -u +%FT%TZ)
viam dataset data add filter \
--dataset-id=$DATASET_ID \
--org-ids=$ORG_ID \
--tags=labeled \
--start=$START \
--end=$END
# Submit a managed training job
viam train submit managed \
--dataset-id=$DATASET_ID \
--model-org-id=$ORG_ID \
--model-name=defect-detector-$(date +%F) \
--model-type=object_detection \
--model-framework=tflite \
--model-labels=defective,good
Schedule this as a cron job or a weekly CI/CD trigger.
Set ORG_ID to your organization ID (run viam organizations list).
#!/bin/bash
set -euo pipefail
viam login api-key --key-id=$VIAM_KEY_ID --key=$VIAM_KEY
# List all machines across all locations
viam machines list --organization=$ORG_ID --all
Script that creates a machine and applies a standard configuration fragment.
Set these environment variables before running:
VIAM_KEY_ID and VIAM_KEY: your API key credentialsORG_ID: your organization IDLOCATION_ID: your location ID (run viam locations list)The script takes two arguments: the machine name and the fragment ID.
#!/bin/bash
set -euo pipefail
MACHINE_NAME=$1
FRAGMENT_ID=$2
viam login api-key --key-id=$VIAM_KEY_ID --key=$VIAM_KEY
# Create the machine.
# Output format: "created new machine with id <uuid>"
CREATE_OUTPUT=$(viam machines create --name=$MACHINE_NAME --location=$LOCATION_ID)
MACHINE_ID=$(echo "$CREATE_OUTPUT" | grep -oE '[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}')
# Get the part ID from the part list.
# Output includes lines like " ID: <uuid>"
PART_ID=$(viam machines part list --machine=$MACHINE_ID | grep 'ID:' | head -1 | awk '{print $2}')
# Apply the configuration fragment
viam machines part fragments add --part=$PART_ID --fragment=$FRAGMENT_ID
echo "Machine $MACHINE_NAME ($MACHINE_ID) created with fragment $FRAGMENT_ID applied."
Export all images from a fleet for offline analysis.
Set ORG_ID to your organization ID.
#!/bin/bash
set -euo pipefail
viam login api-key --key-id=$VIAM_KEY_ID --key=$VIAM_KEY
# date -v is macOS; date -d is Linux. Adjust for your platform.
START=$(date -u -v-30d +%FT%TZ 2>/dev/null || date -u -d '30 days ago' +%FT%TZ)
END=$(date -u +%FT%TZ)
viam data export binary filter \
--destination=./fleet-data \
--org-ids=$ORG_ID \
--mime-types=image/jpeg,image/png \
--start=$START \
--end=$END \
--parallel=20
The --parallel flag controls how many concurrent downloads run (default: 100).
Increase it for faster exports on high-bandwidth connections, or decrease it to reduce load.
--quiet (-q) to suppress non-essential output when parsing command results--debug (-vvv) when troubleshooting a scriptviam defaults set-org to avoid passing --org-id on every command2026-01-15T00:00:00Zset -e works as expectedWas this page helpful?
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