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Xiang (Sean) Zhou
68d70488b9
Co-authored-by: Xiang (Sean) Zhou <seanzhougoogle@google.com> PiperOrigin-RevId: 843037705
106 lines
3.7 KiB
Python
106 lines
3.7 KiB
Python
# Copyright 2025 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Agent definition for testing the Interactions API integration.
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NOTE: The Interactions API does NOT support mixing custom function calling tools
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with built-in tools in the same agent. To work around this limitation, we use
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bypass_multi_tools_limit=True on GoogleSearchTool, which converts the built-in
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google_search to a function calling tool (via GoogleSearchAgentTool).
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The bypass is only triggered when len(agent.tools) > 1, so we include multiple
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tools in the agent (GoogleSearchTool + get_current_weather).
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With bypass_multi_tools_limit=True and multiple tools, all tools become function
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calling tools, which allows mixing google_search with custom function tools.
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"""
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from google.adk.agents.llm_agent import Agent
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from google.adk.models.google_llm import Gemini
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from google.adk.tools.google_search_tool import GoogleSearchTool
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def get_current_weather(city: str) -> dict:
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"""Get the current weather for a city.
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This is a mock implementation for testing purposes.
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Args:
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city: The name of the city to get weather for.
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Returns:
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A dictionary containing weather information.
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"""
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# Mock weather data for testing
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weather_data = {
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"new york": {"temperature": 72, "condition": "Sunny", "humidity": 45},
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"london": {"temperature": 59, "condition": "Cloudy", "humidity": 78},
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"tokyo": {
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"temperature": 68,
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"condition": "Partly Cloudy",
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"humidity": 60,
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},
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"paris": {"temperature": 64, "condition": "Rainy", "humidity": 85},
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"sydney": {"temperature": 77, "condition": "Clear", "humidity": 55},
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}
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city_lower = city.lower()
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if city_lower in weather_data:
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data = weather_data[city_lower]
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return {
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"city": city,
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"temperature_f": data["temperature"],
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"condition": data["condition"],
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"humidity": data["humidity"],
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}
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else:
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return {
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"city": city,
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"temperature_f": 70,
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"condition": "Unknown",
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"humidity": 50,
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"note": "Weather data not available, using defaults",
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}
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# Main agent with google_search (via bypass) and custom function tools
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# Using bypass_multi_tools_limit=True converts google_search to a function calling tool.
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# We need len(tools) > 1 to trigger the bypass, so we include get_current_weather directly.
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# This allows mixing google_search with custom function tools via the Interactions API.
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#
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# NOTE: code_executor is not compatible with function calling mode because the model
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# tries to call a function (e.g., run_code) instead of outputting code in markdown.
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root_agent = Agent(
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model=Gemini(
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model="gemini-2.5-flash",
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use_interactions_api=True,
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),
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name="interactions_test_agent",
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description="An agent for testing the Interactions API integration",
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instruction="""You are a helpful assistant that can:
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1. Search the web for information using google_search
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2. Get weather information using get_current_weather
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When users ask for information that requires searching, use google_search.
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When users ask about weather, use get_current_weather.
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Be concise and helpful in your responses. Always confirm what you did.
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""",
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tools=[
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GoogleSearchTool(bypass_multi_tools_limit=True),
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get_current_weather,
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],
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)
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