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google__adk-docs/docs/get-started/google-cloud.md
Joe Fernandez fea383b916 Consolidate Google Cloud and Agent Platform connection info (#1819)
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* Consolidate Google Cloud and Agent Platform connection info

* remove gcp-mentions file

* adding links to central GCP connection page

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# Connect to Google Cloud and Agent Platform
This guide explains how to connect and authenticate your ADK agents with
Google Cloud Platform (GCP) services, models running on Google Cloud Agent
Platform, and Agent Platform services.
## Setup Google Cloud Agent Platform
Before attempting to connect an agent with Google Cloud or Agent Platform
services, make sure you have completed the following prerequisites:
* Google Cloud Project with the **Agent Platform API** (`aiplatform.googleapis.com`) enabled.
* Install the [gcloud CLI](https://cloud.google.com/sdk/docs/install) tool.
## Google Cloud authentication options
You have a few options for authentication when connecting your ADK agent to Google Cloud,
as described in the table below.
| Method | Best Used For | Authentication Mechanism | Environment |
| :--- | :--- | :--- | :--- |
| [**User Credentials**](#user-credentials) | Local development and testing | Application Default Credentials via `gcloud` | Local workstation |
| [**Service Account**](#service-account) | Production deployment and CI/CD | Google IAM Service Account Key / Workload Identity | Google Cloud (Agent Runtime, Cloud Run, GKE) or external servers |
| [**Express Mode**](#express-mode) | Rapid prototyping and testing | API Key | Local or cloud environments |
| [**Agent Identity**](/integrations/agent-identity) | Production deployment and CI/CD | Google IAM Service Account Key / Workload Identity | Google Cloud (Agent Runtime, Cloud Run, GKE) |
!!! warning "Warning: Protect your credentials"
User credentials, service account credentials, and API keys are highly sensitive. Never commit
credential files or keys directly to your codebase. Whenever possible use secure secret
managers such as
[Google Cloud Agent Identity](/integrations/agent-identity/),
[Google Cloud Secret Manager](https://cloud.google.com/security/products/secret-manager)
or other similar products.
### User credentials for local development {#user-credentials}
Connect to Google Cloud with user credentials authentication method working with
local development environments.
1. Authenticate your local workstation using Application Default Credentials
(ADC) *before* running your ADK agent application:
```bash
gcloud auth application-default login
```
2. Set your environment variables to enable Agent Platform and specify your
project details:
=== ".env file"
```console
# Add to ADK code project but NOT source control
GOOGLE_GENAI_USE_ENTERPRISE=TRUE
GOOGLE_CLOUD_PROJECT=your-project-id
GOOGLE_CLOUD_LOCATION=cloud-location # example: us-central1
```
=== "Terminal"
```bash
export GOOGLE_GENAI_USE_ENTERPRISE=TRUE
export GOOGLE_CLOUD_PROJECT="your-project-id"
export GOOGLE_CLOUD_LOCATION="cloud-location" # example: us-central1
```
!!! note "`GOOGLE_GENAI_USE_ENTERPRISE` was previously `GOOGLE_GENAI_USE_VERTEXAI`"
These variable names are equivalent and do the same thing.
If you set `GOOGLE_GENAI_USE_ENTERPRISE` and your agent
does not connect to Agent Platform, you're on an older ADK version. Use
`GOOGLE_GENAI_USE_VERTEXAI` instead, or update to a newer version of ADK.
### Service account for production {#service-account}
When deploying to secure hosted environments, use a service account for
connection authentication:
1. Create a [Service Account](https://docs.cloud.google.com/iam/docs/service-account-overview)
and grant it the `Agent Platform User` role.
2. Provide the credentials to your agent application according to your
deployment strategy:
* **Deployed on Google Cloud (Agent Runtime, Cloud Run, GKE):**
The environment automatically provides the credentials. No key file
configuration is necessary.
* **Running externally:** Generate a
[service account key file](https://cloud.google.com/iam/docs/keys-create-delete#console)
(`.json`) and configure the `GOOGLE_APPLICATION_CREDENTIALS`
environment variable:
```bash
export GOOGLE_APPLICATION_CREDENTIALS="/path/to/your/service-account-key.json"
```
!!! tip "Workload Identity option"
Instead of the key file, you can also authenticate the service account using
[Workload Identity](https://docs.cloud.google.com/kubernetes-engine/docs/how-to/workload-identity).
### Agent Platform express mode for testing {#express-mode}
Express Mode offers a simplified, API-key-based setup for prototyping without full gcloud authentication.
1. Sign up for [express mode](https://console.cloud.google.com/expressmode) to get an API key.
2. Set the following environment variables:
=== ".env file"
```console
# Add to ADK code project but NOT source control
GOOGLE_GENAI_USE_ENTERPRISE=TRUE
GOOGLE_GENAI_API_KEY=PASTE_YOUR_ACTUAL_EXPRESS_MODE_API_KEY_HERE
```
=== "Terminal"
```bash
export GOOGLE_GENAI_USE_ENTERPRISE=TRUE
export GOOGLE_GENAI_API_KEY="PASTE_YOUR_EXPRESS_MODE_API_KEY_HERE"
```
## Google Cloud hosted models
Google Cloud Agent Platform hosts a wide array of AI models you can connect to
your ADK agents, including Gemini models, third-party AI models, open weight
models, and models custom-tuned for your organization. Once you have connected
your ADK agent to Google Cloud and Agent Platform, you have access to AI models
to fit your application requirements. Check out these resources to explore and
find the model that's right for your project:
* Get more information about using [Gemini models](/agents/models/google-gemini/)
with ADK agents.
* Explore third party and custom model options in
[Agent Platform hosted models](/agents/models/agent-platform/)
for use with ADK agents.
* Find available models and model IDs from Google Cloud in the
[Agent Platform](https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/google-models)
documentation.
## Additional Google Cloud services connections
Many Google Cloud services provide ADK integrations with authentication helpers
for accessing GCP APIs or resources with an ADK agent. For more information,
see the following pages:
* [Google Cloud Application Integration](/integrations/application-integration/)
* [BigQuery Toolset](/integrations/bigquery/)
* [BigQuery Agent Analytics](/integrations/bigquery-agent-analytics/)
* [Data Agent](/integrations/data-agent/)