The outcome

Deploy a least-privilege inference integration whose model behavior and operational limits are known before production use.

Step by step

A workflow you can repeat.

  1. 01

    Define the use case, data classification, approved AWS Region, model access, quality tests, latency, throughput, retention, and budget.

  2. 02

    Create a least-privilege IAM role, enable only required model access, use temporary credentials, and keep application and control-plane permissions separate.

  3. 03

    Call the Converse API with a pinned model or inference profile, explicit system rules and limits, and an associated tested guardrail where appropriate.

  4. 04

    Evaluate factuality, safety, structured output, streaming, throttling, timeouts, and model-specific differences on a versioned benchmark.

  5. 05

    Record request metadata without sensitive prompts, monitor CloudWatch and cost, set quotas and alerts, and use staged configuration changes with rollback.

Working standard

What good use looks like.

  • Use temporary least-privilege credentials.
  • Evaluate every candidate model.
  • Set quotas and cost alerts before scale.

Official references

Check the current product documentation.