Google ADK makes it easy for you to create an AI agent. And it supports different language SDK to make your onboarding easier. Typescript, Golang, Kotlin, java and Python. In past I covered typescript and Golang.
Today I want to explain the Python SDK based agent creation experience I had with Google ADK. I created a video for you to check out. It includes an example of Agent chat interface for you to try out.
Python makes it very easy for you to create an agent. You can also glue the agent to variety of APIs and the libraries available in the Python ecosystem.
I decided to create an agent that makes it easy for you to check the answers from the Wolfram Alpha API. And in the fallback I made it easier for the LLM to make the query and get the answer. So the entire agent keeps functioning.
You can also find the use case of your choice. Create an UI or command line utility for the agent. And that would help you build the rest of the workflow around the AI agent.
Connecting with external APIs where you want to use the accuracy, answers and the variety of the fixing of the areas that would kind of help you build agent better as well. In that context I would say Google ADK along with any agentic coding tool can build your agents lot easier.
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