Skip to main content
Environment variables are plain-text key-value pairs injected into your environment at runtime. They are suited for non-sensitive configuration — things like model names, difficulty levels, dataset paths, or feature flags. For sensitive values such as API keys, use Secrets instead.

Managing Variables

Variables are managed per-environment under the Secrets tab.
  1. Open your environment in the Environments Hub
  2. Go to the Secrets tab and select Variables
  3. Click Add Variable
  4. Set a Name, Value, and optional description
Variables can be edited or deleted at any time by anyone with write access to the environment.

Managing via CLI

prime env var list owner/my-env                                     # list all variables
prime env var create owner/my-env --name MY_VAR --value hello       # create a variable
prime env var update <var-id> owner/my-env --value new-value        # update a variable
prime env var delete <var-id> owner/my-env                          # delete a variable

Naming Rules

Variable names follow env-var conventions:
  • Must start with an uppercase letter
  • Can contain uppercase letters, digits, and underscores only
  • Example: MODEL_NAME, DIFFICULTY, MAX_EXAMPLES

Where Variables Are Available

Variables are injected automatically for all hosted services:
  • Environment Actions
  • Hosted Evaluations
  • Hosted Training

Variables vs Secrets

Environment VariablesSecrets
Stored asPlain textEncrypted
Visible after creationYesNo
Use forNon-sensitive configAPI keys, credentials
ScopePer-environmentPer-environment or global
When both a variable and a secret share the same name, the secret takes priority. See Secrets for the full precedence rules.

Conflict Rules

A variable name cannot conflict with an existing linked secret on the same environment. If you try to create a variable with a name already used by a linked secret, the platform will reject it. Rename or unlink the secret first.