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Documentation Index

Fetch the complete documentation index at: https://docs.agno.com/llms.txt

Use this file to discover all available pages before exploring further.

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Code

cookbook/90_models/google/gemini_interactions/thinking.py
import asyncio

from agno.agent import Agent
from agno.models.google import GeminiInteractions

agent = Agent(
    model=GeminiInteractions(
        id="gemini-3-flash-preview",
        thinking_level="high",
    ),
    markdown=True,
)

if __name__ == "__main__":
    agent.print_response(
        "Solve: If a train travels at 60 mph for 2.5 hours, then at 80 mph for 1.5 hours, what is the total distance and average speed?"
    )

    asyncio.run(
        agent.aprint_response(
            "Explain why the sum of angles in a triangle is always 180 degrees.",
            stream=True,
        )
    )

​
Usage

1

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate
2

Set your API key

export GOOGLE_API_KEY=xxx
3

Install dependencies

uv pip install -U "google-genai>=2.0" agno
4

Run Agent

python cookbook/90_models/google/gemini_interactions/thinking.py