Vira Behavior
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USE CASE

Cross-model behavior consistency

Preserve behavior identity when applications move between model providers or model versions.

PROBLEM

A prompt tuned for one model can drift when moved to another, making the provider change look like a product-policy change.

OLD WORKFLOW

Teams manually retune instructions and hope the new prompt still represents the same intended behavior.

EXAMPLE

The application can change from one model provider to another while the same behavior revision remains the policy identity being evaluated and released.

VIRA WORKFLOW

Keep evidence, authority, evaluation, and release separate.

  1. 01

    Keep the canonical behavior revision independent from the model target.

  2. 02

    Compile or project that behavior for the selected model.

  3. 03

    Evaluate target-specific execution against the same governed identity.

  4. 04

    Bind optimized artifacts to the exact target and composition.

  5. 05

    Fall back to canonical execution when optimized identity is stale or mismatched.

WHAT IS GOVERNED

  • Canonical revision
  • Model target
  • Projection identity
  • Staleness

WHAT IS MEASURED

  • Target digest
  • Artifact digest
  • Evaluation comparison
  • Runtime selection receipt

WHAT CAN FAIL

Failure states are part of the design.

  • An optimized artifact targets a different model.
  • The ancestor behavior composition changed after optimization.
  • Execution evidence cannot prove which target artifact ran.