ADK Agent Function Tools Sample

Overview

This sample demonstrates how to create an agent equipped with built-in Python function tools using the ADK framework.

It defines an Agent wrapped around two utility functions: generate_random_number and is_even. The LLM can automatically invoke these underlying Python functions based on user prompts. This sample shows how simple it is to turn raw python methods into actionable capabilities for your agents.

Sample Prompts

• Give me a random number.

• Give me a random number up to 50, and tell me if it's even.

• Give me a random number and is 44 even?

  This will cause parallel tools being called in a single step

Graph

Agent (name="function_tools")
├── Tool (name="generate_random_number")
└── Tool (name="is_even")

How To

1. Define standard Python functions with type hints and precise docstrings:

   pythonCopy

   import random
   
   def generate_random_number(max_value: int = 100) -> int:
       """Generates a random integer between 0 and max_value (inclusive). ..."""
       return random.randint(0, max_value)
   
   def is_even(number: int) -> bool:
       """Checks if a given number is even. ..."""
       return number % 2 == 0
   

2. Register the functions directly to the agent's tools list during instantiation:

   pythonCopy

   from google.adk.agents import Agent
   
   root_agent = Agent(
       name="function_tools",
       tools=[generate_random_number, is_even],
   )