chore: replace vertexai with enterprise in samples and docs

Co-authored-by: Haran Rajkumar <haranrk@google.com>
PiperOrigin-RevId: 930146494

Author: haranrk

.agents/skills/adk-agent-builder/references/getting-started.md

@@ -4,12 +4,14 @@ Step-by-step guide covering environment setup, basic LLM agents, and workflow ag
 
 ## 📋 New Agent Checklist
 Use this checklist when creating a new agent to ensure it follows convention:
+
 - [ ] **Directory**: Is there a directory for the agent?
 - [ ] **__init__.py**: Does it contain `from . import agent`?
 - [ ] **agent.py**: Does it define `root_agent` or `app`?
 - [ ] **.env**: Is there a `.env` file with the appropriate API keys? (Do not commit to git)
 
 ## 💡 Quick Reference (CLI Commands)
+
 - **Create**: `adk create <agent_name>` (Scaffolds a new agent project)
 - **Web UI**: `adk web <path_to_agent_dir>` (Starts dev server at localhost:8000)
 - **Run CLI**: `adk run <path_to_agent_dir>` (Interactive or query mode)
@@ -44,7 +46,7 @@ Obtain an API key from [Google AI Studio](https://aistudio.google.com/app/apikey
 Create a `.env` file in the agent directory:
 
 ```
-GOOGLE_GENAI_USE_VERTEXAI=FALSE
+GOOGLE_GENAI_USE_ENTERPRISE=FALSE
 GOOGLE_API_KEY=YOUR_API_KEY
 ```
 
@@ -53,7 +55,7 @@ GOOGLE_API_KEY=YOUR_API_KEY
 For production use with Google Cloud:
 
 ```
-GOOGLE_GENAI_USE_VERTEXAI=TRUE
+GOOGLE_GENAI_USE_ENTERPRISE=TRUE
 GOOGLE_CLOUD_PROJECT=your-project-id
 GOOGLE_CLOUD_LOCATION=us-central1
 ```
@@ -65,7 +67,7 @@ Run `gcloud auth application-default login` to authenticate.
 Combines Vertex AI with API key authentication:
 
 ```
-GOOGLE_GENAI_USE_VERTEXAI=TRUE
+GOOGLE_GENAI_USE_ENTERPRISE=TRUE
 GOOGLE_API_KEY=YOUR_EXPRESS_MODE_KEY
 ```
 

contributing/samples/adk_team/adk_answering_agent/README.md

@@ -110,7 +110,7 @@ pip install google-cloud-storage google-cloud-discoveryengine
 The following environment variables are required for the agent to connect to the necessary services.
 
 - `GITHUB_TOKEN=YOUR_GITHUB_TOKEN`: **(Required)** A GitHub Personal Access Token with `issues:write` permissions. Needed for both interactive and workflow modes.
-- `GOOGLE_GENAI_USE_VERTEXAI=TRUE`: **(Required)** Use Google Vertex AI for the authentication.
+- `GOOGLE_GENAI_USE_ENTERPRISE=TRUE`: **(Required)** Use Google Vertex AI for the authentication.
 - `GOOGLE_CLOUD_PROJECT=YOUR_PROJECT_ID`: **(Required)** The Google Cloud project ID.
 - `GOOGLE_CLOUD_LOCATION=LOCATION`: **(Required)** The Google Cloud region.
 - `VERTEXAI_DATASTORE_ID=YOUR_DATASTORE_ID`: **(Required)** The full Vertex AI datastore ID for the document store (i.e. knowledge base), with the format of `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{datastore_id}`.

contributing/samples/adk_team/adk_knowledge_agent/README.md

@@ -15,7 +15,7 @@ Here are the steps to deploy the agent:
 ```bash
 export GOOGLE_CLOUD_PROJECT=your-project-id
 export GOOGLE_CLOUD_LOCATION=us-central1 # Or your preferred location
-export GOOGLE_GENAI_USE_VERTEXAI=True
+export GOOGLE_GENAI_USE_ENTERPRISE=True
 ```
 
 2. Run the deployment command

contributing/samples/context_management/postgres_session_service/README.md

@@ -136,7 +136,7 @@ Create a `.env` file:
 POSTGRES_URL=postgresql+asyncpg://postgres:postgres@localhost:5432/adk_sessions
 GOOGLE_CLOUD_PROJECT=<your-gcp-project-id>
 GOOGLE_CLOUD_LOCATION=us-central1
-GOOGLE_GENAI_USE_VERTEXAI=true
+GOOGLE_GENAI_USE_ENTERPRISE=true
 ```
 
 Or run export command.
@@ -145,7 +145,7 @@ Or run export command.
 export POSTGRES_URL=postgresql+asyncpg://postgres:postgres@localhost:5432/adk_sessions
 export GOOGLE_CLOUD_PROJECT=$(gcloud config get-value project)
 export GOOGLE_CLOUD_LOCATION=us-central1
-export GOOGLE_GENAI_USE_VERTEXAI=true
+export GOOGLE_GENAI_USE_ENTERPRISE=true
 ```
 
 ### 3. Run the Agent

contributing/samples/context_management/static_instruction/README.md

@@ -30,7 +30,7 @@ Create a `.env` file in the project root with your API credentials:
 
 ```bash
 # Choose Model Backend: 0 -> ML Dev, 1 -> Vertex
-GOOGLE_GENAI_USE_VERTEXAI=1
+GOOGLE_GENAI_USE_ENTERPRISE=1
 
 # ML Dev backend config
 GOOGLE_API_KEY=your_google_api_key_here

contributing/samples/integrations/authn-adk-all-in-one/adk_agents/sample.env

@@ -1,5 +1,5 @@
 # General Agent Configuration
-GOOGLE_GENAI_USE_VERTEXAI=False
+GOOGLE_GENAI_USE_ENTERPRISE=False
 GOOGLE_API_KEY=NOT_SET
 GOOGLE_MODEL=gemini-2.5-flash
 OAUTH_CLIENT_ID=abc123

contributing/samples/integrations/bigquery/README.md

@@ -67,7 +67,7 @@ or
 for the LLM service for your agent. For example, for using Google AI Studio you
 would set:
 
-- GOOGLE_GENAI_USE_VERTEXAI=FALSE
+- GOOGLE_GENAI_USE_ENTERPRISE=FALSE
 - GOOGLE_API_KEY={your api key}
 
 ### With Application Default Credentials

contributing/samples/integrations/bigquery_mcp/README.md

@@ -40,7 +40,7 @@ or
 for the LLM service for your agent. For example, for using Google AI Studio you
 would set:
 
-- GOOGLE_GENAI_USE_VERTEXAI=FALSE
+- GOOGLE_GENAI_USE_ENTERPRISE=FALSE
 - GOOGLE_API_KEY={your api key}
 
 Then run the agent using `adk run .` or `adk web .` in this directory.

contributing/samples/integrations/bigtable/README.md

@@ -34,7 +34,7 @@ or
 for the LLM service for your agent. For example, for using Google AI Studio you
 would set:
 
-- GOOGLE_GENAI_USE_VERTEXAI=FALSE
+- GOOGLE_GENAI_USE_ENTERPRISE=FALSE
 - GOOGLE_API_KEY={your api key}
 
 ### With Application Default Credentials

contributing/samples/integrations/files_retrieval_agent/README.md

@@ -37,7 +37,7 @@ export GOOGLE_API_KEY="your-api-key"
 **Vertex AI:**
 
 ```bash
-export GOOGLE_GENAI_USE_VERTEXAI=1
+export GOOGLE_GENAI_USE_ENTERPRISE=1
 export GOOGLE_CLOUD_PROJECT="your-project-id"
 export GOOGLE_CLOUD_LOCATION="us-central1"
 ```