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chore: import upstream snapshot with attribution
2026-07-13 13:25:13 +08:00

167 lines
5.9 KiB
Python

# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import random
from google.adk.agents.llm_agent import Agent
from google.adk.examples.example import Example
from google.adk.models.google_llm import Gemini
from google.adk.tools.example_tool import ExampleTool
from google.genai import types
# --- Roll Die Sub-Agent ---
def roll_die(sides: int) -> int:
"""Roll a die and return the rolled result."""
return random.randint(1, sides)
roll_agent = Agent(
name="roll_agent",
model=Gemini(
# Find supported models in Vertex here: https://docs.cloud.google.com/vertex-ai/generative-ai/docs/live-api
model="gemini-live-2.5-flash-native-audio", # Vertex
# Find supported models in Gemini API here: https://ai.google.dev/gemini-api/docs/models
# model='gemini-2.5-flash-native-audio-preview-12-2025', # Gemini API
speech_config=types.SpeechConfig(
voice_config=types.VoiceConfig(
prebuilt_voice_config=types.PrebuiltVoiceConfig(
voice_name="Kore",
)
)
),
),
description="Handles rolling dice of different sizes.",
instruction="""
You are responsible for rolling dice based on the user's request.
When asked to roll a die, you must call the roll_die tool with the number of sides as an integer.
""",
tools=[roll_die],
generate_content_config=types.GenerateContentConfig(
safety_settings=[
types.SafetySetting( # avoid false alarm about rolling dice.
category=types.HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT,
threshold=types.HarmBlockThreshold.OFF,
),
]
),
)
# --- Prime Check Sub-Agent ---
def check_prime(nums: list[int]) -> str:
"""Check if a given list of numbers are prime."""
primes = set()
for number in nums:
number = int(number)
if number <= 1:
continue
is_prime = True
for i in range(2, int(number**0.5) + 1):
if number % i == 0:
is_prime = False
break
if is_prime:
primes.add(number)
return (
"No prime numbers found."
if not primes
else f"{', '.join(str(num) for num in primes)} are prime numbers."
)
prime_agent = Agent(
name="prime_agent",
model=Gemini(
# Find supported models in Vertex here: https://docs.cloud.google.com/vertex-ai/generative-ai/docs/live-api
model="gemini-live-2.5-flash-native-audio", # Vertex
# Find supported models in Gemini API here: https://ai.google.dev/gemini-api/docs/models
# model='gemini-2.5-flash-native-audio-preview-12-2025', # Gemini API
speech_config=types.SpeechConfig(
voice_config=types.VoiceConfig(
prebuilt_voice_config=types.PrebuiltVoiceConfig(
voice_name="Puck",
)
)
),
),
description="Handles checking if numbers are prime.",
instruction="""
You are responsible for checking whether numbers are prime.
When asked to check primes, you must call the check_prime tool with a list of integers.
Never attempt to determine prime numbers manually.
Return the prime number results to the root agent.
""",
tools=[check_prime],
generate_content_config=types.GenerateContentConfig(
safety_settings=[
types.SafetySetting( # avoid false alarm about rolling dice.
category=types.HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT,
threshold=types.HarmBlockThreshold.OFF,
),
]
),
)
def get_current_weather(location: str):
"""
Returns the current weather.
"""
if location == "New York":
return "Sunny"
else:
return "Raining"
root_agent = Agent(
model=Gemini(
# Find supported models in Vertex here: https://docs.cloud.google.com/vertex-ai/generative-ai/docs/live-api
model="gemini-live-2.5-flash-native-audio", # Vertex
# Find supported models in Gemini API here: https://ai.google.dev/gemini-api/docs/models
# model='gemini-2.5-flash-native-audio-preview-12-2025', # Gemini API
speech_config=types.SpeechConfig(
voice_config=types.VoiceConfig(
prebuilt_voice_config=types.PrebuiltVoiceConfig(
voice_name="Zephyr",
)
)
),
),
name="root_agent",
instruction="""
You are a helpful assistant that can check time, roll dice and check if numbers are prime.
You can check time on your own.
You delegate rolling dice tasks to the roll_agent and prime checking tasks to the prime_agent.
Follow these steps:
1. If the user asks to roll a die, delegate to the roll_agent.
2. If the user asks to check primes, delegate to the prime_agent.
3. If the user asks to roll a die and then check if the result is prime, call roll_agent first, then pass the result to prime_agent.
Always clarify the results before proceeding.
""",
global_instruction=(
"You are DicePrimeBot, ready to roll dice and check prime numbers."
),
sub_agents=[roll_agent, prime_agent],
tools=[get_current_weather],
generate_content_config=types.GenerateContentConfig(
safety_settings=[
types.SafetySetting( # avoid false alarm about rolling dice.
category=types.HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT,
threshold=types.HarmBlockThreshold.OFF,
),
]
),
)