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A service account represents a non-human or machine user that can automatically perform common tasks across projects within a team or across teams. Service accounts are ideal for CI/CD pipelines, automated training jobs, and other machine-to-machine workflows.

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Key benefits

Key benefits of service accounts:
  • No license consumption: Service accounts do not consume user seats or licenses
  • Dedicated API keys: Secure credentials for automated workflows
  • User attribution: Optionally attribute automated runs to human users
  • Enterprise-ready: Built for production automation at scale
  • Delegated operations: Service accounts operate on behalf of the user or organization that creates them

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Overview

Service accounts provide a secure way to automate W&B workflows without using personal user credentials or hard-coded credentials. They can be created at two scopes:
  • Organization-scoped: Created by org admins, with access across all teams.
  • Team-scoped: Created by team admins, with access limited to a specific team
A service account’s API key allows the caller to read from or write to projects within the service account’s scope. This enables centralized management of automated workflows for experiment tracking in W&B Models or logging traces in W&B Weave. Service accounts are particularly useful for:
  • CI/CD pipelines: Automatically log model training runs from GitHub Actions, GitLab CI, or Jenkins
  • Scheduled jobs: Nightly model retraining, periodic evaluation runs, or data validation workflows
  • Production monitoring: Log inference metrics and model performance from production systems
  • Jupyter notebooks: Shared notebooks in JupyterHub or Google Colab environments
  • Kubernetes jobs: Automated workflows running in K8s clusters
  • Airflow/Prefect/Dagster: ML pipeline orchestration tools
Service accounts are available on Dedicated Cloud, Self-Managed instances with an enterprise license, and enterprise accounts in SaaS Cloud.

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Organization-scoped service accounts

Service accounts scoped to an organization have permissions to read and write in all projects in the organization, regardless of the team, with the exception of restricted projects. Before an organization-scoped service account can access a restricted project, an admin of that project must explicitly add the service account to the project. An organization admin can obtain the API key for an organization-scoped service account from the Service Accounts tab of the organization or account dashboard. To create a new organization-scoped service account:
  • Click New service account button in the Service Accounts tab of your organization dashboard.
  • Enter a Name.
  • Select a default team for the service account.
  • Click Create.
  • Next to the newly created service account, click Copy API key.
  • Store the copied API key in a secret manager or another secure but accessible location.
An organization-scoped service account requires a default team, even though it has access to non-restricted projects owned by all teams within the organization. This helps to prevent a workload from failing if the WANDB_ENTITY variable is not set in the environment for your model training or generative AI app. To use an organization-scoped service account for a project in a different team, you must set the WANDB_ENTITY environment variable to that team.

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Team-scoped service accounts

A team-scoped service account can read and write in all projects within its team, except to restricted projects in that team. Before a team-scoped service account can access a restricted project, an admin of that project must explicitly add the service account to the project. As a team admin, you can get the API key for a team-scoped service account in your team at <WANDB_HOST_URL>/<your-team-name>/service-accounts. Alternatively you can go to the Team settings for your team and then refer to the Service Accounts tab. To create a new team scoped service account for your team:
  • Click New service account button in the Service Accounts tab of your team.
  • Enter a Name.
  • Select Generate API key (Built-in) as the authentication method.
  • Click Create.
  • Next to the newly created service account, click Copy API key.
  • Store the copied API key in a secret manager or another secure but accessible location.
If you do not configure a team in your model training or generative AI app environment that uses a team-scoped service account, the model runs or weave traces log to the named project within the service account’s parent team. In such a scenario, user attribution using the WANDB_USERNAME or WANDB_USER_EMAIL variables do not work unless the referenced user is part of the service account’s parent team.
A team-scoped service account cannot log runs to a team or restricted-scoped project in a team different from its parent team, but it can log runs to an open visibility project within another team.

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External service accounts

In addition to built-in service accounts, W&B also supports team-scoped external service accounts with the W&B SDK and CLI using Identity federation with identity providers (IdPs) that can issue JSON Web Tokens (JWTs).

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Best practices

Follow these recommendations to ensure secure and efficient use of service accounts in your organization:
  • Use a secrets manager: Store service account API keys in a secure secrets management system (e.g., AWS Secrets Manager, HashiCorp Vault, Azure Key Vault) rather than in plain text configuration files.
  • Principle of least privilege: Create team-scoped service accounts when possible, rather than organization-scoped accounts, to limit access to only necessary projects.
  • Unique service accounts per use case: Create separate service accounts for different automation workflows (e.g., one for CI/CD, another for scheduled retraining) to improve auditability and enable granular access control.
  • Regular audits: Periodically review active service accounts and remove those no longer in use. Check the audit logs to monitor service account activity.
  • Secure API key handling:
    • Never commit API keys to version control
    • Use environment variables to pass keys to applications
    • Rotate keys if they are accidentally exposed
  • Naming conventions: Use descriptive names that indicate the service account’s purpose:
    • Good: ci-model-training, nightly-eval-pipeline, prod-inference-monitor
    • Avoid: service-account-1, test-sa, temp
  • User attribution: When multiple team members use the same automation workflow, set WANDB_USERNAME or WANDB_USER_EMAIL to track who triggered each run: 
    export WANDB_API_KEY="<service_account_key>"
export WANDB_USERNAME="john.doe@company.com"
  • Environment configuration: For team-scoped service accounts, always set the WANDB_ENTITY to ensure runs log to the correct team: 
    export WANDB_ENTITY="ml-team"
export WANDB_PROJECT="production-models"
  • Error handling: Implement proper error handling and alerts for failed authentication to quickly identify issues with service account credentials.
  • Documentation: Maintain documentation of:
    • Which service accounts exist and their purposes
    • Which systems/workflows use each service account
    • Contact information for the team responsible for each account

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Troubleshooting

Common issues and solutions:
  • “Unauthorized” errors: Verify the API key is correctly set and the service account has access to the target project
  • Runs not appearing: Check that WANDB_ENTITY is set to the correct team name
  • User attribution not working: Ensure the user specified in WANDB_USERNAME is a member of the team
  • Access denied to restricted projects: Explicitly add the service account to the restricted project’s access list
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