# memledger 2.0.0 — Aurora pgvector with IAM auth smoke test
#
# Date:        2026-05-26
# Cluster:     kagents-mem-eks (EKS, us-west-2)
# Image:       eks-ops-agent:v2-test (memledger 2.0.0 from Test PyPI)
# Auth:        IRSA service account `eks-ops-agent` → rds-db:connect token
#              (no password; minted via boto3 each connection)
# Aurora:      kagents-mem-eks-kagent-db (Aurora PostgreSQL + pgvector,
#              IAMDatabaseAuthenticationEnabled=True)
# Embeddings:  Bedrock amazon.titan-embed-text-v2:0 (1024-dim)
# Run mode:    kubectl Job in namespace kagent
#
# Test exercises: add() x3 with derived_from chain → search() → field
# round-trip assertions → delete() x3
# ----------------------------------------------------------------------

OK: connected to Aurora via IAM auth — backend=pgvector
OK: added 3 records: 49f13c8c, 7fd19232, 5b79e7b3
OK: search returned 3 hits
OK: v2 fields round-tripped — agent_id=eks-ops-agent, confidence=0.70
OK: cleanup done
AURORA IAM SMOKE TEST PASSED