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Endigest AI Core Summary
This tutorial explains how to deploy an AI agent built with Google's Agent Development Kit (ADK) to Agent Engine using GitLab's CI/CD pipelines and native Google Cloud integration.
•Agent Engine is Google Cloud's managed runtime for AI agents, handling infrastructure, scaling, session management, and memory storage.
•Workload Identity Federation is used for keyless authentication, eliminating the need for long-lived service account keys.
•IAM configuration requires adding roles/aiplatform.user and roles/storage.objectAdmin to the service principal via gcloud commands.
•The .gitlab-ci.yml pipeline includes two stages: a test stage with automatic security scanning (SAST, dependency scanning, secret detection) and a deploy stage using the adk deploy agent_engine command.
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Deployed agents can be tested via curl against the Vertex AI REST API using a short-lived access token.
This summary was automatically generated by AI based on the original article and may not be fully accurate.
GitLab
Google Cloud
AWS