- Control Plane API with Gemini integration - Executors: Deploy, Analytics, Marketing - MCP Adapter for Continue integration - VSCode/VSCodium extension - Tool registry and run tracking - In-memory storage for local dev - Terraform infrastructure setup
17 lines
707 B
HCL
17 lines
707 B
HCL
# Allow control-plane to write artifacts in GCS
|
|
resource "google_storage_bucket_iam_member" "control_plane_bucket_writer" {
|
|
bucket = google_storage_bucket.artifacts.name
|
|
role = "roles/storage.objectAdmin"
|
|
member = "serviceAccount:${google_service_account.control_plane_sa.email}"
|
|
}
|
|
|
|
# Firestore access for run/tool metadata
|
|
resource "google_project_iam_member" "control_plane_firestore" {
|
|
project = var.project_id
|
|
role = "roles/datastore.user"
|
|
member = "serviceAccount:${google_service_account.control_plane_sa.email}"
|
|
}
|
|
|
|
# Placeholder: executor services will each have their own service accounts.
|
|
# Control-plane should be granted roles/run.invoker on each executor service once created.
|