mirror of
https://github.com/google/adk-docs.git
synced 2026-09-14 16:16:59 +08:00
58f3aaebca
* Replace google.github.io/adk-docs URLs and /adk-docs/ paths with adk.dev Migrate all hardcoded documentation references to use the new custom domain. Update root-relative links to remove the /adk-docs/ subpath prefix since the site will be served from the root of adk.dev. * Additional fixes
51 lines
2.5 KiB
Markdown
51 lines
2.5 KiB
Markdown
# Deploy to Vertex AI Agent Engine
|
|
|
|
<div class="language-support-tag" title="Vertex AI Agent Engine currently supports only Python.">
|
|
<span class="lst-supported">Supported in ADK</span><span class="lst-python">Python</span>
|
|
</div>
|
|
|
|
Google Cloud Vertex AI
|
|
[Agent Engine](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/overview)
|
|
is a set of modular services that help developers scale and govern agents in
|
|
production. The Agent Engine 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 Engine, your code
|
|
runs in the *Agent Engine runtime* environment, which is part of the larger set
|
|
of agent services provided by the Agent Engine product.
|
|
|
|
This guide includes the following deployment paths, which serve different
|
|
purposes:
|
|
|
|
* **[Standard deployment](/deploy/agent-engine/deploy/)**: Follow
|
|
this standard deployment path if you want to carefully manage deploying an ADK agent to the Agent
|
|
Engine 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.
|
|
|
|
* **[Agent Starter Pack deployment](/deploy/agent-engine/asp/)**:
|
|
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.
|
|
The Agent Starter Pack (ASP) helps you deploy ADK projects quickly and it
|
|
includes advanced service configurations that extend the core capabilities of
|
|
the Agent Engine runtime for more mature use cases.
|
|
|
|
!!! note "Agent Engine service on Google Cloud"
|
|
|
|
Agent Engine 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 Engine pricing page](https://cloud.google.com/vertex-ai/pricing#vertex-ai-agent-engine).
|
|
|
|
## Deployment payload {#payload}
|
|
|
|
When you deploy your ADK agent project to Agent Engine, 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 Engine service provides the libraries for ADK API
|
|
server functionality.
|