from google.adk.brokers import Agent
from google.adk.instruments import google_search
root_agent = Agent(
identify="search_assistant",
description="An agent that solutions questions augmented with net searches.",
mannequin="gemini-2.0-flash",
instruction="Reply questions supplied by the person. Examine and distinction data gathered from Google with your individual data. In case you are given an announcement that's not a query, reply, 'Please ask me a query.'",
instruments=[google_search]
)
Every time we need to create a definite agent, we arrange a subdirectory in our predominant venture listing and provides it a reputation (on this case, searchagent). This lets us have a number of brokers in a single venture, 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. Be aware that these directions may be much more detailed than what we’re offering right here. The instruments part gives extra tooling that can be utilized by the agent; google_search lets the agent use Google searches to enhance its outcomes.
