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Concept: Applications · Policy Engine | SDK: Python Configuration
Returns the configuration in effect for the application your API key is bound to: which application and environment the key belongs to, the governance policy applied to its evaluations, and whether that policy is actively enforced or running in monitor mode. This is read-only. Policies are edited in the dashboard; the API key cannot change them.

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Request

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Response

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application
object
The application this key is scoped to: id, environment, organization, and plan.
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policy
object
The governance policy applied to this application’s evaluations.
  • enforcement — log_only (record outcomes only), block (reject below threshold), or regenerate (attempt a safe rewrite, then apply the fallback).
  • evalMode — default evaluation depth: basic or deep.
  • overallThreshold — minimum RAIL score (0–10) to pass.
  • domain — domain context that tunes dimension sensitivity.
  • dimensionThresholds — per-dimension minimum scores; a dimension below its threshold fails the policy.
  • dimensionWeights — how much each dimension contributes to the overall score.
  • compliance — frameworks tracked for this application.
  • safeRegenerate — rewrite settings: enabled, maxAttempts, and fallback (block, log, or human_review).
  • locked — when true, this policy is authoritative and per-request overrides are ignored.
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enforcement
object
Whether the policy is currently shaping responses. active: true (mode: enforce) means the policy can block or regenerate; active: false (mode: monitor) means outcomes are recorded but responses are not altered.
Use enforcement.mode to know how your application is governed right now. In monitor mode every evaluation still reports a policy_outcome (see Evaluation), so you can observe what would be blocked before enforcement is turned on.