Everything in Agent Platform starts with an agent, so that’s where we’ll start too. In this part we’ll build one with ADK — Google’s open-source framework for defining agent logic, wiring up tools, and orchestrating it all in Python — and then deploy it to the Agent Platform runtime so it’s running in the cloud, not just on your laptop. To keep it more interesting than the usual Hello World, I went with a little stock-trading agent, but the steps are the same whatever you’re building. Let’s get into it.
The Agent Development Kit (ADK) is Google’s open-source Python framework for building AI agents. You write the agent’s logic and the tools it can call, and ADK handles orchestrating everything — with evaluation and deployment built in too. I wanted a slightly more interesting app … Continue reading Building a stock-trading agent with ADK
In my previous post, we created an agent with ADK and ran it locally. The next step is to deploy it to Agent Platform runtime. You can deploy to the runtime using a Python script that imports your agent, and configures the remote resource, and performs the deployment. This … Continue reading Deploy an ADK agent to Agent Platform Runtime