Browser-local evaluation gate · Source checked August 28, 2026

Can AgentCore evaluate the agent evidence you actually emit?

Check framework mapping, telemetry reconstruction, CloudWatch, mode selection, ground truth, deterministic acceptance, permissions, data handling, and operating response before trusting a score.

Evaluation evidence

Check only verified evidence from a safe fixture and the live AWS environment. Never paste prompts, responses, tool payloads, credentials, personal data, secrets, or logs into this page.

Local result

Complete the evidence boundary

Eight gates remain. Begin with the live service boundary, exact framework instrumentation, and one end-to-end trace fixture.

A passing checklist does not certify factual correctness, security, compliance, data residency, business success, or production readiness.

AgentCore evaluation readiness questions

No. It runs locally in the browser and does not inspect an AWS account, read CloudWatch, call AgentCore, collect credentials, or transmit checklist selections.
Use on-demand for selected interactions and controlled tests, online for sampled or filtered production monitoring, and batch for asynchronous regression sets, baselines, pre/post comparisons, or periodic audits.
No. Verify the Python instrumentation library, scope name, identifying attributes, content fields, delivery mode, CloudWatch destination, correlation, and the reconstructed evaluation input from a real trace.
No. Scores depend on telemetry, sampling, evaluators, models, rubrics, and references. Keep deterministic checks, domain review, security and failure tests, task outcomes, and accountable release approval.
All eight gates should pass for one bounded agent workflow, including trace reconstruction, least privilege, reference or deterministic checks, denied cases, monitoring, incident response, rollback, and revalidation.

Official references: supported frameworks, telemetry setup and delivery, evaluation types, and prerequisites.