Configure Model Provisioning
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Prisma AIRS

Configure Model Provisioning

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Configure Model Provisioning

Define which LLM models a workspace can access within an integration, and set a fallback model for when the primary model is unavailable.
Where Can I Use This?What Do I Need?
  • Prisma AIRS AI Gateway (Americas region)
  • AI Gateway activated
  • LLM integration in progress or saved
Model provisioning controls the allowlist of models a workspace can call within a given LLM integration. By default, all models available from the provider are accessible. You can restrict a workspace to a specific set of models to enforce governance requirements, reduce cost variance, or prevent the use of deprecated or experimental models. You can also designate a fallback model that AI Gateway uses automatically when the primary model returns a 429 or 503 from the provider.
  1. During LLM integration setup, select the workspace row for which you want to configure model provisioning and click Model Provisioning.
  2. For Model Access, choose All Models to allow access to every model the provider offers, or choose Specific Models to create an allowlist.
  3. If you chose Specific Models, select each model to include in the allowlist.
    Requests from this workspace for any model not in the allowlist are rejected by AI Gateway before they reach the provider.
  4. (Optional) To set a fallback model, select a model from the Fallback Model list.
    The fallback model is used when the primary model requested in the API call returns a provider-side rate limit (HTTP 429) or service unavailability (HTTP 503). The fallback can be any model available on this integration, including models not in the allowlist.
  5. (Optional) To adjust the pricing used for flex credit calculation on a specific model, click Set Price next to the model and enter the input and output token prices in USD per million tokens.