Terraform and VertexAI memory bank customization

[markns]

I’m creating a VertexAI agent engine using the terraform provider Terraform Registry

I’d like to add customisation for the memory bank, as described in this doc:

Announcing customization features for Vertex AI Memory Bank

[image] Hey everyone, For those who missed it, I wanted to share some exciting news from the Vertex AI team. Vertex AI just launched new customization capabilities for Vertex AI Memory Bank! This update is focused on giving you more control over your AI agent’s memory lifecycle. It directly addresses your feedback for more customization and flexibility when building stateful, context-aware AI applications. Let’s dive into what’s new. What’s New in Memory Bank Here are four key features in …

But I can’t see how to do that in the terraform HCL. Is adding further configuration of the agent-engine set up on the roadmap via terraform?

Otherwise, what is the best idea - a post-creation configuration step using the vertex ai SDK?