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c702b2ac2b
This brings the ADK Python quickstart sample up to par with the other orchestrations (like Langchain), removing the need for special test handling.
56 lines
1.8 KiB
Python
56 lines
1.8 KiB
Python
import asyncio
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from google.adk import Agent
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from google.adk.apps import App
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from google.adk.runners import InMemoryRunner
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from google.adk.tools.toolbox_toolset import ToolboxToolset
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from google.genai.types import Content, Part
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prompt = """
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You're a helpful hotel assistant. You handle hotel searching, booking and
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cancellations. When the user searches for a hotel, mention it's name, id,
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location and price tier. Always mention hotel ids while performing any
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searches. This is very important for any operations. For any bookings or
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cancellations, please provide the appropriate confirmation. Be sure to
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update checkin or checkout dates if mentioned by the user.
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Don't ask for confirmations from the user.
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"""
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queries = [
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"Find hotels in Basel with Basel in its name.",
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"Can you book the Hilton Basel for me?",
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"Oh wait, this is too expensive. Please cancel it and book the Hyatt Regency instead.",
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"My check in dates would be from April 10, 2024 to April 19, 2024.",
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]
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# TODO(developer): update the TOOLBOX_URL to your toolbox endpoint
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toolset = ToolboxToolset(
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server_url="http://127.0.0.1:5000",
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)
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root_agent = Agent(
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name='hotel_assistant',
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model='gemini-2.5-flash',
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instruction=prompt,
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tools=[toolset],
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)
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app = App(root_agent=root_agent, name="my_agent")
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async def main():
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runner = InMemoryRunner(agent=root_agent, app=app)
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session = await runner.session_service.create_session(
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app_name=app.name, user_id="test_user"
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)
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for query in queries:
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print(f"\nUser: {query}")
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user_message = Content(parts=[Part.from_text(text=query)])
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async for event in runner.run_async(session_id=session.id, new_message=user_message):
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if event.is_final_response():
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print(f"Agent: {event.content.parts[0].text}")
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if __name__ == "__main__":
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asyncio.run(main())
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