chore: change default region from us-central1 to us-west1 (#936)

* chore: change default region from us-central1 to us-west1

Update the default GCP region across the entire project: CLI defaults,
Terraform variables, Cloud Build substitutions, Makefiles, agent code,
deployment utilities, documentation, and test fixtures.

The cleanup script retains us-central1 in its region list to ensure
old resources are still cleaned up.

* fix: ruff formatting after region rename

* chore: regenerate makefile hashes for us-west1 default

* fix: ruff formatting in expose_app.py after region rename

Author: eliasecchig

.cloudbuild/terraform/variables.tf

@@ -20,7 +20,7 @@ variable "cicd_runner_project_id" {
 variable "region" {
   type        = string
   description = "Google Cloud region for resource deployment."
-  default     = "us-central1"
+  default     = "us-west1"
 }
 
 variable "host_connection_name" {

agent_starter_pack/agents/adk/app/agent.py

@@ -92,7 +92,7 @@ def get_current_time(query: str) -> str:
 _plugins = []
 _project_id = os.environ.get("GOOGLE_CLOUD_PROJECT")
 _dataset_id = os.environ.get("BQ_ANALYTICS_DATASET_ID", "adk_agent_analytics")
-_location = os.environ.get("GOOGLE_CLOUD_LOCATION", "us-central1")
+_location = os.environ.get("GOOGLE_CLOUD_LOCATION", "us-west1")
 
 if _project_id:
     try:

agent_starter_pack/agents/adk/notebooks/adk_app_testing.ipynb

@@ -67,7 +67,7 @@
    "outputs": [],
    "source": [
     "# Initialize the Vertex AI client\n",
-    "LOCATION = \"us-central1\"\n",
+    "LOCATION = \"us-west1\"\n",
     "\n",
     "client = vertexai.Client(\n",
     "    location=LOCATION,\n",
@@ -96,7 +96,7 @@
    "outputs": [],
    "source": [
     "# Set to None to auto-detect from ./deployment_metadata.json, or specify manually\n",
-    "# \"projects/PROJECT_ID/locations/us-central1/reasoningEngines/ENGINE_ID\"\n",
+    "# \"projects/PROJECT_ID/locations/us-west1/reasoningEngines/ENGINE_ID\"\n",
     "REASONING_ENGINE_ID = None\n",
     "\n",
     "if REASONING_ENGINE_ID is None:\n",

agent_starter_pack/agents/adk/notebooks/evaluating_adk_agent.ipynb

@@ -198,7 +198,7 @@
         "if not PROJECT_ID or PROJECT_ID == \"[your-project-id]\":\n",
         "    PROJECT_ID = str(os.environ.get(\"GOOGLE_CLOUD_PROJECT\"))\n",
         "\n",
-        "LOCATION = os.environ.get(\"GOOGLE_CLOUD_REGION\", \"us-central1\")\n",
+        "LOCATION = os.environ.get(\"GOOGLE_CLOUD_REGION\", \"us-west1\")\n",
         "\n",
         "BUCKET_NAME = \"[your-bucket-name]\"  # @param {type: \"string\", placeholder: \"[your-bucket-name]\", isTemplate: true}\n",
         "BUCKET_URI = f\"gs://{BUCKET_NAME}\"\n",

agent_starter_pack/agents/adk_a2a/app/agent.py

@@ -110,7 +110,7 @@ def request_user_input(message: str) -> dict:
 _plugins = []
 _project_id = os.environ.get("GOOGLE_CLOUD_PROJECT")
 _dataset_id = os.environ.get("BQ_ANALYTICS_DATASET_ID", "adk_agent_analytics")
-_location = os.environ.get("GOOGLE_CLOUD_LOCATION", "us-central1")
+_location = os.environ.get("GOOGLE_CLOUD_LOCATION", "us-west1")
 
 if _project_id:
     try:

agent_starter_pack/agents/adk_a2a/notebooks/adk_a2a_app_testing.ipynb

@@ -87,7 +87,7 @@
    "outputs": [],
    "source": [
     "# Initialize the Vertex AI client\n",
-    "LOCATION = \"us-central1\"\n",
+    "LOCATION = \"us-west1\"\n",
     "\n",
     "client = vertexai.Client(\n",
     "    location=LOCATION,\n",
@@ -116,7 +116,7 @@
    "outputs": [],
    "source": [
     "# Set to None to auto-detect from ./deployment_metadata.json, or specify manually\n",
-    "# \"projects/PROJECT_ID/locations/us-central1/reasoningEngines/ENGINE_ID\"\n",
+    "# \"projects/PROJECT_ID/locations/us-west1/reasoningEngines/ENGINE_ID\"\n",
     "REASONING_ENGINE_ID = None\n",
     "\n",
     "if REASONING_ENGINE_ID is None:\n",

agent_starter_pack/agents/adk_a2a/notebooks/evaluating_adk_agent.ipynb

@@ -198,7 +198,7 @@
         "if not PROJECT_ID or PROJECT_ID == \"[your-project-id]\":\n",
         "    PROJECT_ID = str(os.environ.get(\"GOOGLE_CLOUD_PROJECT\"))\n",
         "\n",
-        "LOCATION = os.environ.get(\"GOOGLE_CLOUD_REGION\", \"us-central1\")\n",
+        "LOCATION = os.environ.get(\"GOOGLE_CLOUD_REGION\", \"us-west1\")\n",
         "\n",
         "BUCKET_NAME = \"[your-bucket-name]\"  # @param {type: \"string\", placeholder: \"[your-bucket-name]\", isTemplate: true}\n",
         "BUCKET_URI = f\"gs://{BUCKET_NAME}\"\n",

agent_starter_pack/agents/adk_live/app/agent.py

@@ -25,10 +25,10 @@
 
 _, project_id = google.auth.default()
 os.environ["GOOGLE_CLOUD_PROJECT"] = project_id
-os.environ["GOOGLE_CLOUD_LOCATION"] = "us-central1"
+os.environ["GOOGLE_CLOUD_LOCATION"] = "us-west1"
 os.environ["GOOGLE_GENAI_USE_VERTEXAI"] = "True"
 
-vertexai.init(project=project_id, location="us-central1")
+vertexai.init(project=project_id, location="us-west1")
 {%- endif %}
 
 

agent_starter_pack/agents/agentic_rag/app/agent.py

@@ -39,7 +39,7 @@
 {%- endif %}
 
 LLM_LOCATION = "global"
-LOCATION = "us-central1"
+LOCATION = "us-west1"
 LLM = "gemini-3-flash-preview"
 
 credentials, project_id = google.auth.default()
@@ -116,7 +116,7 @@ def retrieve_docs(query: str) -> str:
 _plugins = []
 _project_id = os.environ.get("GOOGLE_CLOUD_PROJECT")
 _dataset_id = os.environ.get("BQ_ANALYTICS_DATASET_ID", "adk_agent_analytics")
-_location = os.environ.get("GOOGLE_CLOUD_LOCATION", "us-central1")
+_location = os.environ.get("GOOGLE_CLOUD_LOCATION", "us-west1")
 
 if _project_id:
     try:

agent_starter_pack/agents/agentic_rag/data_ingestion/data_ingestion_pipeline/components/process_data.py

@@ -39,7 +39,7 @@ def process_data(
     destination_dataset: str = "stackoverflow_data",
     destination_table: str = "incremental_questions_embeddings",
     deduped_table: str = "questions_embeddings",
-    location: str = "us-central1",
+    location: str = "us-west1",
 ) -> None:
     """Process StackOverflow questions and answers by:
     1. Fetching data from BigQuery