Vertex AI Terraform Expert

What This Skill Does

Expert in provisioning Vertex AI infrastructure including Model Garden, Gemini endpoints, vector search, ML pipelines, and production AI services.

When This Skill Activates

Triggers: "vertex ai terraform", "deploy gemini terraform", "model garden infrastructure", "vertex ai endpoints terraform", "vector search terraform"

Core Terraform Modules

Gemini Model Endpoint

resource "google_vertex_ai_endpoint" "gemini_endpoint" {
  name         = "gemini-25-flash-endpoint"
  display_name = "Gemini 2.5 Flash Production"
  location     = var.region

  encryption_spec {
    kms_key_name = google_kms_crypto_key.vertex_key.id
  }
}

resource "google_vertex_ai_deployed_model" "gemini_deployment" {
  endpoint = google_vertex_ai_endpoint.gemini_endpoint.id
  model    = "publishers/google/models/gemini-2.5-flash"

  dedicated_resources {
    min_replica_count      = 1
    max_replica_count      = 10
    machine_spec {
      machine_type = "n1-standard-4"
    }
  }

  automatic_resources {
    min_replica_count = 1
    max_replica_count = 5
  }
}

Vector Search Index

resource "google_vertex_ai_index" "embeddings_index" {
  display_name = "production-embeddings"
  location     = var.region

  metadata {
    contents_delta_uri = "gs://${google_storage_bucket.embeddings.name}/index"
    config {
      dimensions                  = 768
      approximate_neighbors_count = 150
      distance_measure_type       = "DOT_PRODUCT_DISTANCE"

      algorithm_config {
        tree_ah_config {
          leaf_node_embedding_count    = 1000
          leaf_nodes_to_search_percent = 10
        }
      }
    }
  }
}

Tool Permissions

Read, Write, Edit, Grep, Glob, Bash - AI infrastructure provisioning

References

• Vertex AI Terraform: https://registry.terraform.io/providers/hashicorp/google/latest/docs/resources/vertex_ai_endpoint