What problem does it solve? Applications built on the Gemini Developer API in Google AI Studio cannot use Google Cloud credits, lack enterprise IAM, SLAs, and compliance guarantees, and keep billing separate from the rest of your Google Cloud infrastructure. This Skill guides the migration to Gemini Enterprise Agent Platform (formerly Vertex AI) so inferencing runs under unified Cloud billing, IAM, and telemetry. ## Core Features & Use Cases - Billing and credits setup: Explains how to apply Google Cloud Free Trial credits to Gemini inferencing and configure budget alerts to avoid unexpected charges. - Authentication and IAM configuration: Covers Application Default Credentials for local development and Service Account roles for Compute Engine workloads, including access scope pitfalls. - SDK and framework migration: Shows how to switch the Google GenAI SDK, Agent Development Kit (ADK), Antigravity CLI, and OpenClaw to the Agent Platform backend using environment variables like GOOGLE_GENAI_USE_ENTERPRISE. - Use Case: You run an OpenClaw agent on a Compute Engine VM and want its Gemini calls billed against your $300 Cloud credits; the Skill walks you through enabling the API, granting aiplatform.user, generating credentials, and updating openclaw.json. ## Quick Start Ask the agent to migrate your existing AI Studio Gemini application to Gemini Enterprise Agent Platform on your Google Cloud project.
