Pier Paolo Ippolito
37ea617394
* fix: correct agents-cli skill names and deployment targets in Coding with AI tutorial - Fix skill names to match actual agents-cli implementation: - google-agents-cli-adk-deploy → google-agents-cli-deploy - google-agents-cli-adk-dev → google-agents-cli-workflow - google-agents-cli-adk-eval → google-agents-cli-eval - google-agents-cli-adk-observe → google-agents-cli-observability - google-agents-cli-adk-scaffold → google-agents-cli-scaffold - Add missing google-agents-cli-publish skill - Add GKE as deployment target (was missing from deploy command description) - Fix publish destination: 'Agent Store' → 'Gemini Enterprise' - Reorder skills to match canonical order from agents-cli * docs: use full branding 'Agents CLI in Agent Platform' in intro paragraphs Use the full product name 'Agents CLI in Agent Platform' in introductory paragraphs and first mentions, then shorten to 'Agents CLI' in subsequent prose references. Command names and code blocks remain as 'agents-cli'. Changes: - coding-with-ai.md: First mention uses full branding - agents-cli.md: Title and intro paragraph use full branding - index.md: Deployment path description uses full branding - All subsequent prose references use 'Agents CLI' instead of 'agents-cli' - Command references and code blocks unchanged (still 'agents-cli')
2.5 KiB
Deploy to Agent Runtime
Google Cloud Agent Platform Agent Runtime is a set of modular services that help developers scale and govern agents in production. The Agent Runtime runtime enables you to deploy agents in production with end-to-end managed infrastructure so you can focus on creating intelligent and impactful agents. When you deploy an ADK agent to Agent Runtime, your code runs in the Agent Runtime runtime environment, which is part of the larger set of agent services provided by the Agent Runtime product.
This guide includes the following deployment paths, which serve different purposes:
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Standard deployment: Follow this standard deployment path if you want to carefully manage deploying an ADK agent to the Agent Runtime runtime. This deployment path uses Cloud Console, ADK command line interface, and provides step-by-step instructions. This path is recommended for users who are already familiar with configuring Google Cloud projects, and users preparing for production deployments.
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Agents CLI deployment: Follow this accelerated deployment path to set up a fully configured Google Cloud environment with CI/CD, infrastructure-as-code, and deployment pipelines for your ADK agent. You need a Google Cloud project with billing enabled. Agents CLI in Agent Platform helps you deploy ADK projects quickly and it includes advanced service configurations that extend the core capabilities of the Agent Runtime runtime for more mature use cases.
!!! note "Agent Runtime service on Google Cloud"
Agent Runtime is a paid service and you may incur costs if you go
above the no-cost access tier. More information can be found on the
[Agent Runtime pricing page](https://cloud.google.com/vertex-ai/pricing#vertex-ai-agent-engine).
Deployment payload
When you deploy your ADK agent project to Agent Runtime, the following content is uploaded to the service:
- Your ADK agent code
- Any dependencies declared in your ADK agent code
The deployment does not include the ADK API server or the ADK web user interface libraries. The Agent Runtime service provides the libraries for ADK API server functionality.