Agent Platform Migrate From Ai StudioCAUTION

Agent Skills for Google products and technologies

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: agent-platform-migrate-from-ai-studio
metadata:
  version: "1.0.1"
  category: AiAndMachineLearning
description: >-
  Guides agents and users through migrating from Gemini API in Google AI Studio to Gemini Enterprise Agent Platform (formerly Vertex AI). Use this skill when moving applications to Google Cloud, to leverage Cloud credits, or to unify inferencing with other Cloud infrastructure (IAM, billing, telemetry).
---

# Migrating from Gemini API in AI Studio to Agent Platform

Use this skill when you need to transition an application from the
developer-centric Google AI Studio ecosystem
(`generativelanguage.googleapis.com`) to the enterprise-grade Google Cloud Agent
Platform (`aiplatform.googleapis.com`).

## Attribution

**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you
MUST read [Usage Attribution](references/attribution.md). For commands executed
directly in the terminal (never in generated scripts, Terraform, or user code),
prefix `gcloud` with
`CLOUDSDK_METRICS_REQUEST_ATTRIBUTION="agent-skills/1.0 (skill:agent-platform-migrate-from-ai-studio)"`
and append
`agent-skills/1.0 (skill:agent-platform-migrate-from-ai-studio)`
to `User-Agent` headers.

--------------------------------------------------------------------------------

## When to Invoke This Skill

*   You want to migrate an application from Google AI Studio to Agent Platform
    (formerly Vertex AI).
*   You have **Google Cloud credits** (e.g., the $300 Welcome Free Trial) that
    you want to apply toward Gemini API inferencing costs.
*   You need to unify your inferencing pipelines, IAM permissions, telemetry,
    and billing with existing Google Cloud infrastructure (Compute Engine, Cloud
    SQL, BigQuery).
*   You are deploying open-source orchestration engines (like OpenClaw or ADK
    agents) on Google Cloud VMs, and want the entire system to run under a
    unified Google Cloud billing structure.

--------------------------------------------------------------------------------

## Gemini API Comparison

Feature / Control      | Google AI Studio (Gemini Developer API)                               | Agent Platform (Enterprise Gemini API)
:--------------------- | :-------------------------------------------------------------------- | :-------------------------------------
**API Endpoint**       | `generativelanguage.googleapis.com`                                   | `aiplatform.googleapis.com`
**Target Audience**    | Developers, startups, students, researchers building production apps. | Enterprise production, MLOps engineers
**GCP Credit Support** | No (GCP credits/Free Trial **cannot** be applied)                     | Yes (Fully covered by Welcome or custom credits)
**Data Privacy**       | Data may be reviewed to improve Google products                       | Prompts/responses are **never** used for training
**Security & IAM**     | API key, OAuth                                                        | Google Cloud IAM (Service Accounts, OAuth 2.0, VPC-SC)
**Compliance & SLAs**  | None (Best-effort availability)                                       | 24/7 Enterprise Support, SLAs, HIPAA, SOC2
**Throughput Options** | Shared / Rate-limited                                                 | Pay-as-you-go OR Provisioned Throughput
**MLOps Ecosystem**    | Basic prompt management                                               | Model Registry, Model Monitoring, Pipeline Evaluation
**Inferencing Scope**  | Global endpoints only                                                 | Both Global and strict Regional endpoints

See
[Google Cloud Documentation](https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/migrate/migrate-google-ai.md.txt)
to learn more about the differences between the two offerings.

--------------------------------------------------------------------------------

## Migration Guide

### Billing and Credits

Google Cloud Free Trial credits
**[do not apply to AI Studio](https://docs.cloud.google.com/free/docs/free-cloud-features.md.txt)**.
To use your credits for Gemini models, you must route calls through the Agent
Platform.

1.  Create a Google Cloud billing account. You must provide a valid payment
    method during setup to verify identity.
2.  If you are a new customer, ensure your $300 Welcome credit is active in the
    Billing Console.
3.  **Avoid Billing Surprises:** To prevent automatic fallback to your standard
    form of payment when credits are exhausted, you should establish a budget
    alert:
    *   Go to **Billing** -> **Budgets & Alerts** -> **Create Budget**.
    *   Set the threshold to map to your credit limit or maximum comfortable
        spend.

### Enable the Agent Platform API

You must explicitly enable the Agent Platform API on your target Google Cloud
Project. Run the following command via your local shell:

```bash
gcloud services enable aiplatform.googleapis.com --project="{project_id}"
```

### Authentication & Authorization (IAM)

#### User Auth

For local debugging or script execution, authenticate using
[Application Default Credentials](https://docs.cloud.google.com/docs/authentication/application-default-credentials.md.txt)
(ADC).

**Option 1 - Automated Script**:

```bash
bash <(curl -sSL https://storage.googleapis.com/cloud-samples-data/adc/setup_adc.sh)
```

**Option 2 - Manual Setup**:

```bash
gcloud auth login
gcloud auth application-default login
```

Grant your user identity the required IAM role to perform inferencing calls:

```bash
gcloud projects add-iam-policy-binding "{project_id}" \
    --member="user:[email protected]" \
    --role="roles/aiplatform.user"
```

#### Service Auth

When running your application on Google Cloud infrastructure such as a Compute
Engine VM, authenticate using the machine's attached Service Account. For
example, the
[Compute Engine Default Service Account](https://docs.cloud.google.com/compute/docs/access/service-accounts#default_service_account.md.txt).

1.  Gran

CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.

What the source does

Filesystem

none-observed

Network

none-observed

Shell

none-observed

Dependencies

pinned

Secrets in source

none-found

Findings (2)

export PROJECT_NUMBER=$(curl "http://metadata.google.internal/computeMetadata/v1/project/project-id" -H "Metadata-Flavor: Google")

configured to either **Allow full access to all Cloud APIs**

Gates applied: no_behavioural_pass.

[![ModelsAtlas audit: Agent Platform Migrate From Ai Studio](https://modelsatlas.com/skills/google/agent-platform-migrate-from-ai-studio/badge.svg)](https://modelsatlas.com/skills/google/agent-platform-migrate-from-ai-studio/)

Not your listing, or something out of date? Claim or update your listing.