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Arize Admin

  • 1.3k installs
  • 41 repo stars
  • Updated August 5, 2026
  • arize-ai/arize-skills

arize-admin is a Claude Code skill that configures and administers an Arize AI observability workspace—spaces, projects, users, permissions, and production monitoring settings for ML and LLM systems.

About

arize-admin is a skill from arize-ai/arize-skills for platform administration of Arize AI observability environments. It targets developers and ML engineers responsible for workspace structure, project boundaries, user access, and production monitoring configuration once LLM or traditional ML services are live. Typical tasks include creating or organizing spaces and projects, assigning permissions, and tuning monitoring settings so traces, evaluations, and drift signals remain visible to the right teams. The skill fits operational handoffs where observability must be governed alongside deployment rather than treated as an afterthought. Published README content is not included in the catalog excerpt, so invoke it when users explicitly reference Arize admin, workspace setup, or production monitoring configuration and confirm tenant details at runtime. Pair arize-admin with tracing or evaluation skills when moving from prototype instrumentation to governed production monitoring.

  • Arize workspace administration
  • User and permission management
  • Production ML observability setup
  • Drift and trace monitoring governance
  • LLM evaluation environment control

Arize Admin by the numbers

  • 1,324 all-time installs (skills.sh)
  • +76 installs in the week ending Aug 5, 2026 (Skillselion tracking)
  • Ranked #234 of 2,064 Data Science & ML skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
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Installs1.3k
repo stars41
Last updatedAugust 5, 2026
Repositoryarize-ai/arize-skills

How do you configure Arize observability workspace permissions?

Configure and administer an Arize AI observability workspace—spaces, projects, users, permissions, and production monitoring settings for ML and LLM systems.

Who is it for?

ML and LLM engineers operating Arize who must govern workspaces, access control, and production monitoring after models ship.

Skip if: Teams not using Arize or developers only needing local model training without observability platform administration.

When should I use this skill?

The user asks to administer Arize, configure spaces or projects, set user permissions, or tune production monitoring in Arize.

What you get

Configured Arize spaces, projects, role permissions, and production monitoring policies.

  • Workspace configuration
  • Permission policies
  • Monitoring settings

Files

SKILL.mdMarkdownGitHub ↗

Arize Admin Skill

Programmatic management of Arize users, organizations, spaces, roles, permissions, and API keys — the building blocks for enterprise access control.

Privilege requirement: Most operations require org-admin or account-admin privileges. If commands return 403 Forbidden, the authenticated profile lacks sufficient permissions.
Destructive-action rule: Commands that delete, revoke, remove, or irreversibly modify resources (delete, revoke, remove-user, unrestrict) require explicit user confirmation before execution. When a user asks you to perform one of these operations:
1. Summarize exactly what will happen (e.g., "This will delete user jane@example.com and cascade-revoke their API keys and remove all their org/space memberships and role bindings.")
2. Ask the user to confirm (use AskUserQuestion).
3. Only after the user confirms, run the command with --force to skip the CLI's interactive prompt.

>

Never run a --force destructive command without confirming with the user first.

When to Use

  • Invite users to the account, assign them to orgs and spaces
  • Offboard a user and revoke all their access in one command
  • Onboard a new team: create a space, create a custom role, assign users, generate a service key
  • Create custom roles for SAML/SSO attribute mappings (need stable role IDs)
  • Restrict a project so only explicitly bound users can access it
  • Create scoped service keys for CI/CD pipelines or multi-tenant architectures
  • Rotate or revoke API keys
  • Create or delete projects within a space

Upfront Questions

For multi-step workflows, collect all required information before running any `ax` commands. Use AskUserQuestion to avoid back-and-forth mid-workflow. Fetch live data first (e.g. org list) so you can present real options rather than asking the user to recall IDs.

Onboarding a new team

1. Run ax organizations list -o json to get available org names. 2. Use AskUserQuestion (single call, up to 4 questions) to gather:

  • Which org? — present the org names from the list as options
  • Space name — what to call the new team's space
  • Team members — names and emails to invite (user can type via "Other"; ask if none yet)
  • Service key? — whether to generate a service key for CI/CD pipelines

Offboarding a user

Ask before running any commands:

  • Which user? — email address (then look up with ax users list --email)

Restricting a project

Ask before running any commands:

  • Which space and project? — to look up the project global ID
  • Which users get explicit access? — emails of users to bind to the restricted project

Inviting users (standalone)

Ask before running any commands:

  • Name and email — for each user to invite
  • Roleadmin, member, or read-only (present as options)
  • Invite modeemail_link (default), temporary_password, or none

Revoking or rotating an API key

Ask before running any commands:

  • Which key? — run ax api-keys list -o json and present options by name and status; or ask for KEY_ID
  • Revoke or rotate?revoke invalidates immediately; refresh issues a new key with the same scope (zero-downtime rotation)

If the user says "delete" an API key, use ax api-keys revoke — there is no delete subcommand for API keys.

Concepts

  • Organization — a named grouping within an account (e.g. one per business unit). Spaces live inside organizations. Users are added to the account first, then to orgs, then to spaces.
  • Space — a workspace that isolates traces, datasets, and projects. A user must be an org member before they can be added to a space within that org.
  • Role — a named set of permissions. Predefined roles are system-managed. Custom roles are created by admins. The roles for org/space membership (admin, member, read-only, annotator) are separate from custom RBAC roles used with ax role-bindings.
  • Role binding — fine-grained assignment of a custom role to a user on a specific resource (a space or a project).
  • Resource restriction — marks a project so that only users with an explicit role binding on that project can access it. Roles bound at any higher hierarchy level (space, org, account) are excluded.
  • API key — either a user key (authenticates as the creator, full user permissions) or a service key (scoped to a specific space, for automated pipelines).

Prerequisites

Proceed directly — run the ax command you need. Do NOT check versions or profiles upfront.

If an ax command fails:

  • command not found or version error → see references/ax-setup.md
  • 401 Unauthorized / missing API key → run ax profiles show; follow references/ax-profiles.md
  • 403 Forbidden → the active profile lacks admin privileges; ask the user to authenticate with an admin key
  • Security: Never read .env files or search the filesystem for credentials. Use ax profiles for Arize credentials. Never echo, log, or display raw API key values.
OAuth login option (v0.18.0+): Users can authenticate via browser-based OAuth PKCE instead of API keys by running ax auth login (then ax auth logout to revoke). Inform users of this option if they ask about authentication alternatives — do not run ax auth login yourself, as it opens a browser interactively.

---

Users

A user must exist in the account before they can be added to an org or space. Account-level roles: admin, member, annotator

ax users list                                  # all users
ax users list --email "jane"                   # substring filter
ax users list --status active                  # active only
ax users list -l 100 -o json                   # paginate, get global IDs

ax users get USER_ID

ax users create \
  --full-name "Jane Doe" \
  --email jane@example.com \
  --role member \
  --invite-mode email_link        # or: none | temporary_password

ax users update USER_ID --full-name "Jane Smith"
ax users update USER_ID --is-developer          # grant developer flag

ax users delete USER_ID --force   # ⚠ confirm first — cascades: org/space memberships, API key revocation, role bindings

ax users resend-invitation USER_ID
ax users reset-password USER_ID

---

Organizations

Organization roles: admin, member, read-only, annotator

ax organizations list
ax organizations list --name "platform"
ax organizations list -l 100 -o json

ax organizations get "Platform Team"

ax organizations create --name "Platform Team" --description "Core ML platform"

ax organizations update "Platform Team" --name "ML Platform" --description "Updated"

# Add user (must exist in account first)
ax organizations add-user "Platform Team" --user-id USER_ID --role member

# Remove user (also removes from all child spaces) — ⚠ confirm first
ax organizations remove-user "Platform Team" --user-id USER_ID --force

---

Spaces

Space roles: admin, member, read-only, annotator

ax spaces list
ax spaces list --organization-id ORG_ID

ax spaces get "my-workspace"

# --organization-id required; get ORG_ID from ax organizations list -o json
ax spaces create --name "team-alpha" --organization-id ORG_ID

ax spaces update "team-alpha" --name "team-alpha-v2"

ax spaces delete "team-alpha" --force   # ⚠ confirm first — irreversible; deletes all resources

# User must be an org member before being added to a space
ax spaces add-user "team-alpha" --user-id USER_ID --role member
ax spaces remove-user "team-alpha" --user-id USER_ID --force   # ⚠ confirm first

---

Roles

Custom RBAC roles used with ax role-bindings. Separate from the simpler admin/member/read-only/annotator roles in org/space membership.

ax roles list                          # all roles
ax roles list --is-custom -o json      # custom only — get stable IDs for SAML mappings
ax roles list --is-predefined

ax roles get "Data Scientist"          # inspect permissions

# --permissions is comma-separated; fully replaces on update
ax roles create \
  --name "Data Scientist" \
  --permissions "PROJECT_READ,DATASET_CREATE,EXPERIMENT_CREATE" \
  --description "Read traces, create datasets and experiments"

ax roles update "Data Scientist" --permissions "PROJECT_READ,DATASET_CREATE,EXPERIMENT_CREATE,EVALUATOR_CREATE"

ax roles delete "Data Scientist" --force   # ⚠ confirm first — predefined roles cannot be deleted

Finding available permissions: Run ax roles get <predefined-role> -o json on a system role (e.g. Member, Admin) to see valid permission names.

---

Role Bindings

Fine-grained assignment of a custom role to a user on a specific resource (space or project).

# Assign at space level
ax role-bindings create \
  --user-id USER_GLOBAL_ID \
  --role-id ROLE_GLOBAL_ID \
  --resource-type SPACE \
  --resource-id SPACE_GLOBAL_ID

# Assign at project level
ax role-bindings create \
  --user-id USER_GLOBAL_ID \
  --role-id ROLE_GLOBAL_ID \
  --resource-type PROJECT \
  --resource-id PROJECT_GLOBAL_ID

ax role-bindings get BINDING_ID
ax role-bindings update BINDING_ID --role-id NEW_ROLE_ID
ax role-bindings delete BINDING_ID --force   # ⚠ confirm first

Idempotent — if a binding already exists for the user on that resource, exits without error.

---

Resource Restrictions

Restricts a project so only users with an explicit role binding on that project can access it. Space/org-level roles are excluded.

ax resource-restrictions restrict --resource-id PROJECT_GLOBAL_ID     # idempotent
ax resource-restrictions unrestrict --resource-id PROJECT_GLOBAL_ID --force   # ⚠ confirm first

# Finding project IDs
ax projects list -l 100 -o json --space "my-workspace"

---

API Keys

Scope: ax api-keys list returns only keys owned by the authenticated user. For org-wide auditing, use the Arize UI (Settings > API Keys).
ax api-keys list
ax api-keys list --key-type service --status active -o json

# User key — authenticates as creator, inherits their full permissions
ax api-keys create --name "CI pipeline" --expires-at "2027-01-01T00:00:00"

# Service key — space-scoped bot user (recommended for CI/CD pipelines)
ax api-keys create-service-key \
  --name "team-alpha-traces" \
  --space "team-alpha" \
  --space-role member \
  --expires-at "2027-01-01T00:00:00"

ax api-keys revoke KEY_ID --force   # ⚠ confirm first — invalidates the key immediately

# Zero-downtime rotation — revokes old key, issues new one with same scope
ax api-keys refresh KEY_ID
ax api-keys refresh KEY_ID --expires-at "2028-01-01T00:00:00"
The raw key is displayed once. Save it immediately in your secrets manager. It cannot be retrieved again.

`create-service-key` flags:

FlagRequiredDescription
--nameyesKey name
--spaceyesSpace this service key is scoped to
--space-rolenoRole in the space: admin, member, read-only
--org-rolenoRole in the parent organization
--account-rolenoRole at account level
--expires-atnoISO 8601 expiry date
--descriptionnoOptional description

---

Projects

Projects live inside spaces and contain traces, datasets, and experiments.

ax projects list --space SPACE
ax projects list --space SPACE --name "playground"   # substring filter
ax projects list --space SPACE -l 100 -o json        # get base64 IDs

ax projects get NAME_OR_ID --space SPACE

ax projects create --name "my-project" --space SPACE

ax projects delete NAME_OR_ID --space SPACE --force   # ⚠ confirm first — deletes all traces and datasets
Note: Project IDs (base64 strings) are used by ax spans export, ax traces export, and ax resource-restrictions. If commands reject a project name, look up the id field from ax projects list -o json and use that instead.

---

Enterprise Workflows & Troubleshooting

Step-by-step workflows (onboard a team, SAML/SSO mappings, project restriction, offboarding, multi-tenant keys) and a troubleshooting table are in references/REFERENCE.md.

---

Related Skills

  • arize-instrumentation: Set up tracing in an LLM app once a space is ready.
  • arize-trace: Export and inspect traces within a managed space.
  • arize-dataset: Create and manage datasets within a space.

Related skills

FAQ

What does arize-admin configure in Arize?

arize-admin focuses on Arize workspace administration: spaces, projects, users, permissions, and production monitoring settings for ML and LLM observability rather than writing application feature code.

When should developers invoke arize-admin?

arize-admin fits after Arize is adopted and teams need governed projects, role-based access, and production monitoring policies for live models or LLM agents.

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