from google.adk.brokers import Agent
from google.adk.instruments import google_search
root_agent = Agent(
title="search_assistant",
description="An agent that solutions questions augmented with internet searches.",
mannequin="gemini-2.0-flash",
instruction="Reply questions offered by the person. Examine and distinction data gathered from Google with your individual data. If you're given a press release that isn't a query, reply, 'Please ask me a query.'",
instruments=[google_search]
)
Every time we wish to create a definite agent, we arrange a subdirectory in our foremost undertaking listing and provides it a reputation (on this case, searchagent). This lets us have a number of brokers in a single undertaking, which may run on their very own or interoperate.
The __init__.py file marks the listing as being an agent, by importing the precise agent code. The agent.py file units up the agent itself, as described by the Agent object.
Every Agent makes use of a mannequin API to interface with (right here, it’s gemini-2.0-flash). Our preliminary instructions to the agent, which prefix every enter from the person, are outlined in directions. Observe that these directions may be way more detailed than what we’re offering right here. The instruments part supplies extra tooling that can be utilized by the agent; google_search lets the agent use Google searches to reinforce its outcomes.
